771 - Applied & Computational Mathematics Division Supplemental Materials

Applied and Computational Mathematics Division

Publications

Recognition

Internal

External

In Refereed Journals

Mathematics of Metrology

1. E. Atindama, P. Lef, G. Doğan, and P. Athavale. Restoration of Noisy Orientation Maps from Electron Backscatter Diffraction Imaging. Integrating Materials and Manufacturing Innovation 12:3 (2023), 251-266. DOI: 10.1007/s40192-023-00304-8 
2. I. Bell and B. Alpert. Efficient and Precise Representation of Pure Fluid Phase Equilibria with Chebyshev Expansions.  International Journal of Thermophysics 42, 75 (2021).  DOI: 10.1007/s10765-021-02824-x 
3. I. Bray, X. Weber, D. Fursa, A. Kadryrov, B. Schneider, S. Pamidighantam, M. Cytowski, and A. Kheifets. Taking the Convergent Close-coupling Method Beyond Helium: The Utility of the Hartree-Fock Theory. ATOMS 10:1 (2022) 22. DOI: 10.3390/atoms10010022 
4. A. Carasso. Data Assimilation in 2D Viscous Burgers Equation using a Stabilized Explicit Finite Difference Scheme Run Backward in Time. Inverse Problems in Science and Engineering 29:13 (2021), 3475-3489. DOI: 10.1080/17415977.2021.2009476
5. A. Carasso. Stabilized Leapfrog Scheme Run Backward in Time, and the Explicit O(∆t)² Stepwise Computation of Ill-Posed Time-Reversed 2D Navier-Stokes Equations. Inverse Problems in Science and Engineering 29:13 (2021), 3062-3085. DOI: 10.1080/17415977.2021.1972997
6. S. Chattopadhyay, C. Marante, B. Schneider, and L. Argenti. Two-photon Double Ionization with Finite Pulses: Application of the Virtual Sequential Model to Helium.  Physical Review A 108 (2023), 013114. 10.1103/PhysRevA.108.013114 
7. Z. Chen, J. Wen, A. Kearsley, and A. Pertzborn. Evaluating the Performance of an Inexact Newton Method with a Preconditioner for Dynamic Building System Simulation. Journal of Building Performance Simulation 15:1 (2022) 112-127. DOI: 10.1080/19401493.2021.2007285
8. K. Coakley, J. Splett, and T. Gerrits. Mixture Model Analysis of Transition Edge Sensor Pulse Height Spectra. Journal of the Optical Society of America B39 (2022) 137-144. DOI: 10.1364/JOSAB.440232
9. R. Dalka, D. Sachmpazidi, C. Henderson, and J.  Zwolak. Network Analysis Approach to Likert-style Surveys. Physical Review Physics Education Research18:2 (2022) 020113. DOI: 10.1103/PhysRevPhysEducRes.18.020113 
10. O. Doronina, Z. Grey, and A. Glaws. G2Aero: A Python Package for Separable Shape Tensors. Journal of Open Source Software. 8:89 (2023), 5408. DOI: 10.21105/joss.05408 
11. R. P. Fitzgerald, B. K. Alpert, D. T. Becker, D. E. Bergeron, R. M. Essex, K. Morgan, S. Nour, G. O’Neil, D. R. Schmidt, G. E. Shaw, D. Swetz, R. M. Verkouteren, and D. Yan. Toward a New Primary Standardization of Radionuclide Massic Activity Using Microcalorimetry and Quantitative Milligram-Scale Samples. Journal of Research of the National Institute of Standards and Technology 126 (2021), 126048. DOI: 10.6028/jres.126.048
12. J. Fowler, G. O'Neil, B. Alpert, D. Bennett, E. Denison, W. Doriese, G. Hilton, L. Hudson, Y. Joe, K. Morgan, D. Schmidt, D. Swetz, C. Szabo, and J. Ullom.  Absolute Energies and Emission Line Shapes of the L X-Ray Transitions of Lanthanide Metals. Metrologia 58 (2021), 015016. DOI: 10.1088/1681-7575/abd28a 
13. J. W. Fowler, B.  K. Alpert, G. C. O’Neil, D. S. Swetz, and  J. N. Ullom. Energy calibration of nonlinear microcalorimeters with uncertainty estimates from Gaussian process regression. Journal of Low Temperature Physics special issue LTD19 (2022). DOI: 10.1007/s10909-022-02740-w
14. A. R. Fritsch, S. Guo, S. M. Koh, I. B. Spielman, and J. P. Zwolak. Dark Solitons in Bose-Einstein Condensates: A Dataset for Many-body Physics Research. Machine Learning: Science and Technology3:4 (2022), 047001. DOI: 10.1088/2632-2153/ac9454  
15. H. Gharibnejad, N. Douguet, B. Schneider, J. Olsen, and L. Argenti. Multi-Center Quadrature Scheme for the Molecular Continuum. Computer Physics Communications 263 (2021), 107889. DOI: 10.1016/j.cpc.2021.107889 
16. Z. Grey, S. Mosleh, J. Rezac, Y. Ma, J. Coder, and A. Dienstfrey. Bi-Criteria Radio Spectrum Sharing with Subspace-Based Pareto Tracing. IEEE Transactions on Communications 70:50 (2022) 3512-3525. DOI: 10.1109/TCOMM.2022.3161516 
17. Z. Grey, O. Doronina, and A. Glaws. Separable Shape Tensors for Aerodynamic Design. Journal of Computational Design and Engineering 10:1 (2023), 468-487. DOI: 10.1093/jcde/qwac140 
18. S. Guo, A. Fritsch, C. Greenberg, I. Spielman, and J. Zwolak. Machine-Learning Enhanced Dark Soliton Detection in Bose-Einstein Condensates. Machine Learning: Science and Technology 2:3 (2021), 035020. DOI: 10.1088/2632-2153/abed1e 
19. S. Guo, S. Koh, A. Fritsch, I. Spielman, and J. Zwolak. Combining Machine Learning with Physics: A Framework for Tracking and Sorting Multiple Dark Solutions. Physical Review Research 4:2 (2022) 023163. DOI: 10.1103/PhysRevResearch.4.023163
20. Z. Guo, J. K. Song, G. Barbastathis, M. E. Glinsky, C. T. Vaughan, K. W. Larson, B.  K. Alpert, and Z. H. Levine. Physics-assisted Generative Adversarial Network for X-Ray Tomography. Optics Express 30 (13) 23238-23259 (2022). DOI: 10.1364/OE.460208
21. Z. Guo, Z. Liu, G. Barbastathis, Q. Zhang, M. Glinsky, B. Alpert, and Z. Levine. Noise-Resilient Deep Learning for Integrated Circuit Tomography.  Optics Express31:10 (2023), 15355. DOI: 10.1364/OE.486213 
22. K. Hamilton, K. Bartschat, N. Douguet, S. Pamidighantam, and B. Schneider. Simulation For All: The Atomic, Molecular, and Optical Science Gateway. Computing in Science and Engineering 25:68 (2023), 68-72. DOI: 10.1109/MCSE.2023.3312888 
23. R. Kacker. Towards Correction of the JCGM International Vocabulary of Metrology. Measurement: Sensors 18 (2021), 100063. DOI: 10.1016/j.measen.2021.100063 
24. R. Kacker. On Quantity, Value, Unit, and Other Terms in the JCGM International Vocabulary of Metrology. Measurement Science and Technology 32 (2021) 125015. DOI: 10.1088/1361-6501/ac28d0/meta
25. J. Lee, E. Hwang, and R. Kacker. True Value, Error, and Measurement Uncertainty: Two Views. Accreditation and Quality Assurance 27 (2022) 235-242. DOI: 10.1007/s00769-022-01508-9
26. Z. Levine, B. Alpert, A. Dagel, J. Fowler, E. Jimenez, N. Nakamura, D. Swetz, P. Szypryt, K. Thompson, and J. Ullom. A Tabletop X-Ray Tomography Instrument for Nanometer-Scale Imaging. Microsystems & Nanoengineering 9:47 (2023), 47. DOI: 10.1038/s41378-023-00510-6
27. A. Moorthy, A. Kearsley, W. Mallard, W. Wallace, and S. Stein. Inferring the Nominal Molecular Mass of an Analyte from its Electron Ionization Mass Spectrum. Analytical Chemistry 95:35 (2023), 13132–13139. DOI:10.1021/acs.analchem.3c01815
28. A. Moorthy, E. Erisman, A. Kearsley, Y. Liang, E. Sisco, and W. Wallace. On the Challenge of Unambiguous Identification of Fentanyl Analogs: Exploring Measurement Diversity using Standard Reference Mass Spectral Libraries.  Journal of Forensic Sciences 68:5 (2023), 1494-1503. DOI: 10.1111/1556-4029.15322
29. K. Parzuchowski, A. Mikhaylov, M. Mazurek, R. Wilson, D. Lum, T. Gerrits, C. Camp Jr., M. Stevens, and R. Jimenez. Setting Bounds on Two-Photon Absorption Cross-Sections in Common Fluorophores with Entangled Photon Pair Excitation. Physical Review Applied 15 (2021), 044012. DOI: 10.1103/PhysRevApplied.15.044012
30. C. Qu, B. Schneider, A. Kearsley, W. Keyrouz, and T. Allison, Predicting Kováts Retention Indices Using Graph Neural Networks. Journal of Chromatography A 1646 (2021), 462100. DOI: 10.1016/j.chroma.2021.462100
31. C. Qu, A. Kearsley, B. Schneider, W. Keyrouz, and T. Allison. Graph Convolutional Neural Network Applied to the Prediction of Normal Boiling Point. Journal of Molecular Graphics and Modelling   1:112 (2022) 108149. DOI: 10.1016/j.jmgm.2022.108149
32. J. Randazzo, C. Marante, S. Chattopadhyay, B. Schneider, J. Olsen, and L. Argenti. ASTRA: a Transition-Density-Matrix Approach to Molecular Ionization. Physical Review Research 5 (2023), 043125. DOI: 10.1103/PhysRevResearch.5.043115 
33. M. Roberts, A. Moorthy, E. Sisco, and A. Kearsley. Incorporating Measurement Variability when Comparing Sets of High-resolution Mass Spectra. Analytica Chimica Acta 1230 (2022) 340247.  DOI: 10.1016/j.aca.2022.340247
34. N. Saito, N. Douguet, H. Sannohe, N. Ishii, T. Kanai, Y. Wu, A. Chew, S. Han, B. Schneider, J. Olsen, L. Argenti, Z. Chang, and J. Itatani. Attosecond Electronic Dynamics of Core-Excited States of N₂O in the Soft X-ray Region. Physical Review Research3 (2021) 043222. DOI:10.1103/PhysRevResearch.3.043222
35. L. Scarlett, J. Savage, D. Fursa, I. Bray, M. Zammit, and B. Schneider. Convergent Close-Coupling Calculations of Electrons Scattering on Electronically Excited Molecular Hydrogen. Phys. Rev. A103 (2021), 032802. DOI: 10.1103/PhysRevA.103.032802 
36. L. Scarlett, M. Zammit, I. Bray, B. Schneider, and D. Fursa. Convergent Close-coupling Calculations of Electron Scattering on HeH⁺. Physical Review A 106 (2022) 042818. DOI: 10.1103/PhysRevA.106.042818
37. L. Scarlett, E. Jong, S. Odelia, M. Zammit, Y. Ralchenko, B. Schneider, I. Bray, and D. Fursa. Complete Collision Data Set for Electrons Scattering on Molecular Hydrogen and its Isotopologues: IV. Vibrationally-Resolved Ionization of the Ground and Excited Electronic States. Atomic Data and Nuclear Data Tables 151 (2023), 01573. DOI: 10.1016/j.adt.2023.101573
38. B. Schneider, K. Hamilton, and K. Bartschat. Generalizations of the R-Matrix Method to the Treatment of the Interaction of Short Pulse Electromagnetic Radiation with Atoms. ATOMS 10:3 (2022) 26. DOI: 10.3390/atoms10010026
39. R. Schneider, H. Gharibnejed, and B. Schneider. ITVOLT: An Iterative Solver for the Time-Dependent Schrödinger Equation.  Computer Physics Communications 291 (2023), 108780. DOI: 10.1016/j.cpc.2023.108780 
40. J. Seilert, A. Moorthy, A. Kearsley, and E. Flöter. Revisiting a Model to Predict Pure Triglyceride Thermodynamic Properties: Parameter Optimization and Performance. Journal of the American Oil Chemists Society98:8 (2021), 837-850. DOI: 10.1002/aocs.12515
41. A. Singor, J. Savage, I. Bray, B. Schneider, and D. Fursa. Continuum Solutions to the Two-Center Coulomb Problem in Prolate Spheroidal Coordinates. Computer Physics Communications 282 (2023), 108514. DOI: 10.1016/j.cpc.2022.108514 
42. S. Sorokanich. Beyond Mean Field: Condensate Coupled with Pair Excitations. Journal of Mathematical Physics 64:8 (2023), 081904. DOI: 10.1063/5.0125971

Mathematics of Biotechnology

1. P. Bedekar, A. Kearsley, and P. Patrone. Prevalence Estimation and Optimal Classification Methods to Account for Time Dependence in Antibody Levels. Journal of Theoretical Biology 559 (2023), 111375. DOI: 10.1016/j.jtbi.2022.111375 
2. R. DeJaco, J. Majikes, J. Liddle, and A. Kearsley. Binding, Brightness, or Noise? Extracting Temperature-dependent Properties of Dye Bound to DNA. Biophysical Journal 122 (2023),1364-1375. DOI: 10.1016/j.bpj.2023.03.002 
3. R. DeJaco, M. Roberts, E.  Romsos, P. Vallone, A.  Kearsley, Reducing Bias and Quantifying Uncertainty in Fluorescence Produced by PCR. Bulletin of Mathematical Biology 85 (2023), 83. DOI: 10.1007/s11538-023-01182-z 
4. M. DiSalvo, P. Patrone, A. Kearsley, and G. Cooksey. Serial Flow Cytometry in an Inertial Focusing Optofluidic Microchip for Direct Assessment of Measurement Variations.  Lab on a Chip 22:17 (2022) 3217-3228. DOI: 10.1039/D1LC01169C
5. R. Evans, A. Balijepalli, and A. Kearsley.  Transport Phenomena in Biological Field Effect Transistors.  SIAM Journal on Applied Mathematics 80:6 (2020), 2586–2607.  DOI: 10.1137/19M1255495
6. K. Keenan, Z. Gimbutas, A. Dienstfrey, K. Stupic, M. Boss, S. Russek, T. Chenevert, P. Prasad, J. Guo, W. Reddick, K. Cecil, A. Shukla-Dave, D. Nunez, A. Konar, M. Liu, S. Jambawalikar, L. Schwartz, J. Zheng, P. Hu, and E. Jackson. Multi-site, Multi-Platform Comparison of MRI T1 Measurement Using a System Phantom. PLOS One 16 (6) e0252966. DOI:10.1371/journal.pone.0252966
7. K. Ladic, K. Sayrafian, D. Simunic, and K. Yazdandoost. Wireless Channel Characterization for UWB Communication in Capsule Endoscopy. IEEE Access 11 (August 2023), 95858 –95873. DOI: 10.1109/ACCESS.2023.3310216 
8. R. Luke, A. Kearsley, N. Pisanic, Y. Manabe, D. Thomas, C. Heaney, and P. Patrone. Modeling in Higher Dimensions to Improve Diagnostic Testing Accuracy: Theory and Examples for Multiplex Saliva-Based SARS-CoV-2 Assays. PLOS One, 18:3 (2023), e0280823. DOI: 10.1371/journal.pone.0280823 
9. R. Luke, A. Kearsley, and P. Patrone. Optimal Multiclass Classification and Generalized Prevalence Estimates for Diagnostic Settings with More Than Two Classes. Mathematical Biosciences 358 (2023), 108982. DOI: 10.1016/j.mbs.2023.108982
10. H. Mahboubi, K. Sayrafian, and A. Aghdam. A Low Complexity Power Maximization Strategy for Coulomb Force Parametric Generators, IEEE Access 11 (May 2023), 42881 –42894. DOI: 10.1109/ACCESS.2023.3260106
11. J. Majikes, P. Patrone, A. Kearsley, M. Zwolak, and J. Liddle.  Failure Mechanisms in DNA Self-Assembly: Barriers to Single-Fold Yield.  ACS Nano 15:2 (2021), 2384-3294. DOI: 10.1021/acsnano.0c10114 
12. P. Patrone and A. Kearsley. Classification Under Uncertainty: Data Analysis for Diagnostic Antibody Testing.  Mathematical Medicine and Biology: A Journal of the IMA 38:3 (2021), 396–416. DOI: 10.1093/imammb/dqab007 
13. P. Patrone, A. Li, G. Cooksey, and A. Kearsley. Measuring Microfluidic Flow Rates: Monotonicity, Convexity, and Uncertainty. Applied Mathematics Letters 112 (2021), 106694. DOI: 10.1016/j.aml.2020.106694 
14. P. Patrone, P. Bedekar, N. Pisanic, Y. Manabe, D. Thomas, C. Heaney, and A. Kearsley. Optimal Decision Theory for Diagnostic Testing: Minimizing Indeterminate Classes with Applications to Saliva-Based SARS-CoV-2 Antibody Assays. Mathematical Biosciences 351 (2022) 108858. DOI: 10.1016/j.mbs.2022.108858
15. M. Roudneshin, K. Sayrafian, and A. Aghdam. Adaptive Maximization of the Harvested Power for Wearable or Implantable Sensors with Coulomb Force Parametric Generators. IEEE Internet of Things Journal 10:19 (April 2023), 16793 –16803. DOI: 10.1109/JIOT.2023.3269953
16. J. Sadeghi, P. Patrone, A. Kearsley, and G. Cooksey. Optofluidic Flow Meter for Sub-nanoliter per Minute Flow Measurements. Journal of Biomedical Optics 27:1 (2022) 017001. DOI: 10.1117/1.JBO.27.1.017001
17. G. Sahonero-Alvarez, A. Singh, K. Sayrafian, L. Bianchi, and A. Roman-Gonzalez. A Functional BCI Model by the P2731 Working Group: Transducer. Brain-Computer Interfaces Journal 8:3 (2021), 92-107. DOI: 10.1080/2326263X.2021.1968633 
18. K. Stupic, M. Ainslie, M. Boss, C. Charles, A. Dienstfrey, J. Evelhoch, P. Finn, Z. Gimbutas, J. Gunter, D. Hill, C. Jack, E. Jackson, T. Karaulanov, K. Keenan, G. Liu, M. Martin, P. Prasad, N. Rentz, C. Yuan, and S. Russek. Standard System Phantom for Magnetic Resonance Imaging. Magnetic Resonance in Medicine 86 (2021), 1194-1211. DOI: 10.1002/mrm.28779
19. L. Tian, E. Elsheikh, P. Patrone, A. Kearsley, A. Gaigalas, S. Inwood, S. Lin-Gibson, D. Esposito, and L. Wang. Towards Quantitative and Standardized Serological and Neutralization Assays for COVID-19.  International Journal of Molecular Sciences 22:5 (2021), 2723. DOI: 10.3390/ijms22052723
20. L. Wang, R. Bhardwaj, H. Mostowski, P. Patrone, A. Kearsley, J. Watson, L. Lim, J. Pichaandi, O. Ornatsky, D. Majonis, S. Bauer, and H. Dagheidy.  Establishing CD19 B-cell Reference Control Materials for Comparable and Quantitative Cytometric Expression Analysis. PLOS One 16:3 (2021), e0248118.  DOI: 10.1371/journal.pone.0248118 
21. L. Wang, P. Patrone, A. Kearsley, J. Izac, A. Gaigalas, J. Prostko, H. Kwon, W. Tang, M. Kosikova, H. Xie, L. Tian, E. Elsheikh, E. Kwee, T. Kemp, S. Jochum, N. Thornburg, L. McDonald, A. Gundlapalli, and S. Lin-Gibson. Monoclonal Antibodies as SARS-CoV-2 Serology Standards: Experimental Validation and Broader Implications for Correlates of Protection.  International Journal of Molecular Sciences 24:21 (2023), 15705. DOI: 10.3390/ijms242115705 

Materials Modeling

1. T. Bui, M.-A. Henn, W. Tew, M. Catterton, and S. Woods. Harmonic Dependence of Thermal Magnetic Particle Imaging. Scientific Reports 13 (2023), 15762. DOI: 10.1038/s41598-023-42620-1 
2. J. Fong, N. Heckert, J. Filliben, P. Marcal, and S. Freiman. Estimation of a Minimum Allowable Structural Strength Based on Uncertainty in Material Test Data. Journal of Research of the National Institute of Standards and Technology 126 (2021) 126036. DOI:10.6028/jres.126.036
3. J. Fong, N. Heckert, J. Filliben, P. Marcal, and S. Freiman. Estimation of a Minimum Allowable Structural Strength Based on Uncertainty in Material Test Data. Journal of Research National Institute of Standards and Technology 126 (2021), 126036. DOI: 10.6028/jres.126.036 
4. S. Freiman, J. Fong, and N. Heckert. New Statistical Methodology for Assessing Mechanical Survivability of Brittle Materials. Journal of Strength, Fracture, and Complexity 16 (2023), 1-15.  DOI: 10.3233/SFC-221504
5. M. A. Henn, K. Quelhas, T. Bui, and S. Woods. Improving Model-Based MPI Image Reconstructions: Baseline Recovery, Receive Coil Sensitivity, Relaxation and Uncertainty Estimation. International Journal on Magnetic Particle Imaging 8:1 (2022). DOI: 10.18416/ijmpi.2022.2208001 
6. M.-A. Henn, K. Quelhas, T. Bui, and S. Woods. Uncertainty Estimation for 2D Magnetic Particle Imaging. In International Journal on Magnetic Particle Imaging, 8:1 (2022). DOI: 10.18416/ijmpi.2022.2203082
7. M.-A. Henn, K. Quelhas, and S. Woods. Investigating the Influence of Sampling Frequency on X-Space MPI Image Reconstructions. International Journal on Magnetic Particle Imaging 9:1 (2023). DOI: 10.18416/IJMPI.2023.2303042
8. M.-A. Henn, T. Bui, and S. Woods. Investigating the Harmonic Dependence of MPI Resolution. International Journal on Magnetic Particle Imaging 9:1 (2023). DOI: 10.18416/IJMPI.2023.2303059
9. M. Hu, M. Hoefer, and M. Donahue. Energetics of Phase Transitions in Homogeneous Antiferromagnets. Applied Physics Letters 123 (2023), 062401. DOI: 10.1063/5.0147368
10. K. Quelhas, M.-A. Henn, T. Bui, H. Wages, W. Tew, and S. Woods. Flexible Software for Rigorous Simulations of Magnetic Particle Imaging Systems. International Journal on Magnetic Particle Imaging, 8 :1 (2022). DOI: 10.18416/ijmpi.2022.2203081
11. K. Quelhas, M.-A. Henn, R. Farias, W. Tew, and S. Woods. Parallel MPI Image Reconstructions in GPU using CUDA. International Journal on Magnetic Particle Imaging 9:1 (2023). DOI: 10.18416/IJMPI.2023.2303043 

High Performance Computing and Visualization

1. S. Kase, C. Hung, T. Krayzman, J. Hare, B. Rinderspacher, and S. Su. The Future of Collaborative Human-Artificial Intelligence Decision-making for Mission Planning. Frontiers in Psychology 13 (2022). DOI: 10.3389/fpsyg.2022.850628
2. A. Li and S. Su. Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs. IEEE Transactions on Parallel and Distributed Systems 32:7 (2021), 1878-1891. DOI: 10.1109/TPDS.2020.3045828 
3. N. Martys, W. George, S. Satterfield, B. Toman, M. Peltz, S. Jones, and C. Ferraris. Standard Reference Materials for Rheological Measurements of Cement-Based Materials. ACI Materials Journal 118:6 (2021), 325-330. DOI: 10.14359/51733132 
4. A. McCaughan, B. Oripov, N. Ganesh, S. Nam, A. Dienstfrey, S. Buckley. Multiplexed Gradient Descent: Fast Online Training of Modern Datasets on Hardware Neural Networks Without Backpropagation. APL Machine Learning1:2 (2023), 026118. DOI: 10.1063/5.0157645
5. J. Sims, B. Padhy, and M. Ruiz. Exponentially Correlated Hylleraas-Configuration Interaction Non-relativistic Energy of the ¹S Ground State of the Helium Atom. International Journal of Quantum Chemistry121:4 (2020), e26470. DOI: 10.1002/qua.26470 
6. J. Sims. Hylleraas-Configuration Interaction (Hy-CI) Non-Relativistic Energies for the 3 ¹S, 4 ¹S, 5 ¹S, 6 ¹S, and 7 ¹S Excited States of the Beryllium Atom. Journal of Research of the NIST 125 (2020), 125006. DOI: 10.6028/jres.125.006 
7. J. Sims and M. Ruiz. Parallel Generalized Real Symmetric-Definite Eigenvalue Problem. Journal of Research of NIST 125 (2020), 125032. DOI: 10.6028/jres.125.032
8. J. S. Sims, B. Padhy, and M. B. Ruiz. Exponentially Correlated Hylleraas-Configuration Interaction (E-Hy-CI) Studies of Atomic Systems. II. Non-relativistic Energies of the 1 ¹S through 6 ¹S States of the Li⁺ Ion. International Journal of Quantum Chemistry 122 (2021), e26823. DOI: 10.1002/qua.26823
9. J. Sims, B. Padhy, and M. Ruiz. Exponentially Correlated Hylleraas-Configuration-Interaction Studies of Atomic Systems. II. Non-relativistic Energies of the 1 singlet S through 6 singlet S states of the Li+ ion. International Journal of Quantum Chemistry 122 (2022) e26823. DOI: 10.1002/qua.26823
10. J. Sims, B. Padhy, and M. Ruiz. Exponentially Correlated Hylleraas-Configuration-Interaction Studies of Atomic Systems. III. Upper and Lower Bounds to He-Sequence Oscillator Strengths for the Resonance singlet S – singlet P Transition. Atoms 11:7 (2023), 107. DOI: 10.3390/atoms11070107 
11. J. Stone, K. Griffin, J. Amstutz, D. DeMarle, W. Sherman, and J. Günther. ANARI: A 3-D Rendering API Standard. Computing in Science & Engineering 24:2 (2022) 7-18. DOI: 10.1109/MCSE.2022.3163151
12. O. Yousuf, I. Hossen, M. Daniels, M. Lueker-Boden, and A. Dienstfrey, G. C. Adam. Device Modeling Bias in ReRAM-Based Neural Network Simulations. IEEE Journal on Emerging and Selected Topics in Circuits and Systems 13:1 (2023), 042318. DOI: 10.1109/JETCAS.2023.3238295 
13. Y. Zhai, N. Martys, W. George, J. Curtis, J. Nayem, Y. Zhang, and Y. Liu. Intermediate Scattering Functions of a Rigid Body Monoclonal Antibody Protein in Solution Studied by Dissipative Particle Dynamic Simulation. Structural Dynamics 8 (2021), 024102. DOI: 10.1063/4.0000086
14. H. Zhao, G. Bryant, W. Griffin, J. Terrill and J. Chen. Evaluating Glyph Design for Showing Large-Magnitude-Range Quantum Spins.  IEEE Transactions on Visualization and Computer Graphics 28 (December 2022). DOI: 10.1109/TVCG.2022.3232591

Quantum Information

1. J. Arrazola, V. Bergholm, K. Bradler, T. Bromley, M. Collins, I. Dhand, A. Fumagalli, T. Gerrits, A. Goussev, L. Helt, J. Hundal, T. Isacsson, R. Israel, J. Izaac, S. Jahangiri, R. Janik, N. Killoran, S. Kumar, J. Lavoie, A. Lita, D. Mahler, M. Menotti, B. Morrison, S. Nam, L. Neuhaus, H. Qi, N. Quesada, A. Repingon, K. Sabapathy, M. Schuld, D. Su, J. Swinarton, A. Szava, K. Tan, P. Tan, V. Vaidya, Z. Vernon, Z. Zabaneh, and Y. Zhang. Quantum Circuits with Many Photons on a Programmable Nanophotonic Chip. Nature 591, 54-60 (2021). DOI: 10.1038/s41586-021-03202-1
2. A. Avagyan, E. Knill, S. Glancy. Multi-Mode Gaussian State Analysis with Total-photon Counting. Journal of Physics B, 8 (2023), 14501. DOI: 10.1088/1361-6455/ace175 
3. I. Bezerra, H. Vasconcelos, and S. Glancy. Quadrature Squeezing and Temperature Estimation from the Fock Distribution. Quantum Information Processing 21 (2022) 365. DOI:10.1007/s11128-022-03677-5
4. I. Burenkov, A. Semionova, FNU Hala, T. Gerrits, A. Rahmouni, D. Anand, Y. Li-Baboud, O. Slattery, A. Battou, and S. Polyakov. Synchronization and Coexistence in Quantum Networks. Optics Express 31:7 (2023), 11431-11446. DOI: 10.1364/OE.480486 
5. M. Coudron, J. Stark, and T. Vidick. Trading Locality for Time: Certifiable Randomness from Low-Depth Circuits. Communications in Mathematical Physics 382 (2021), 49–86. DOI: 10.1007/s00220-021-03963-w
6. C. Couteau, S. Barz, T. Durt, T. Gerrits, J. Huwer, R. Prevedel, J. Rarity, A. Shields, and G. Weihs. Applications of Single Photons in Quantum Metrology, Biology and the Foundations of Quantum Physics. Nature Reviews Physics 5 (2023), 354. DOI: 10.1038/s42254-023-00583-2
7. S. Erickson, J. Wu, P.-Y. Hou, D. Cole, S. Geller, A. Kwiatkowski, S. Glancy, E. Knill, D. Slichter, A. Wilson, and D. Leibfried. High-fidelity Indirect Readout of Trapped Ion Hyperfine Qubits. Physical Review Letters 128 (2022) 60503. DOI: 10.1103/PhysRevLett.128.160503 
8. P. Faist, M. Woods, V. Albert, J. Renes, J. Eisert, and J. Preskill. Time-energy Uncertainty Relation for Noisy Quantum Metrology. PRX Quantum 4 (2023), 040336. DOI: 10.1103/PRXQuantum.4.040336 
9. L. García-Pintos, L. Brady, J. Bringewatt, and Y.-K. Liu. Lower Bounds on Quantum Annealing Times. Physical Review Letters 130 (2023), 140601. DOI: 10.1103/PhysRevLett.130.140601  
10. S. Geller, D. Cole, S. Glancy, and E. Knill. Improving Quantum State Detection with Adaptive Sequential Observations. IOP Science 7 (2022) 034004. DOI: 10.1088/2058-9565/ac6972
11. H.-Y. Huang, R. Kueng, G. Torlai, V. Albert, and J. Preskill. Provably Efficient Machine Learning for Quantum Many-Body Problems. Science 377 (2022). DOI: 10.1126/science.abk3333
12. J. Iosue, K. Sharma, M. Gullans, and V. Albert. Continuous-variable Quantum State Designs: Theory and Applications. Physical Review X 14 (2023), 011013. DOI: 10.1103/PhysRevX.14.011013
13. J. Jin, T. Gerrits, and A. Gamouras. Calibration and Comparison of Detection Efficiency for Free-space Single-photon Avalanche Diodes at 850 nm. Applied Optics 61:17 (2022) 5244-5249. DOI: 10.1364/AO.461154
14. C. Joshi, B. Sparkes, A. Farsi, T. Gerrits, V. Verma, S. Ramelow, S. Nam, and A. Gaeta. Picosecond-Resolution Single-Photon Time Lens for Temporal Mode Quantum Processing. Optica 9:4 (2022) 364-373. DOI: 10.1364/OPTICA.439827
15. I. Kim, B. Shi, K. Kato, and V. Albert. Chiral Central Charge from a Single Bulk Wave Function. Physical Review Letters 128 (2022) 176402. DOI:10.1103/PhysRevLett.128.176402 
16. I. Kim, B. Shi, K. Kato, and V. Albert. Modular Commutator in Gapped Quantum Many-Body Systems. Physical Review B 106 (2022) 075147. DOI: 10.1103/PhysRevB.106.075147
17. S. Kotler, G. Peterson, E. Shojaee, F. Lecocq, K. Cicak, A. Kwiatkowski, S. Geller, S. Glancy, E. Knill, R. Simmonds, J. Aumentado, and J. Teufel. Direct Observation of Deterministic Macroscopic Entanglement. Science 372 (2021), 622-625. DOI:10.1126/science.abf2998
18.  P. Kuo. Noncritical Phase matching Behavior in Thin-film Lithium Niobate Frequency Converters. Optics Letters 47:1 (2022) 54. DOI: 10.1364/OL.444846
19. P. Kuo, D. Reddy, V. Verma, S. Nam, A. Zukauskas, and C. Canalias. Photon-pair Production and Frequency Translation Using Backward-wave Spontaneous Parametric Down Conversion. Optica Quantum 1:2 (2023), 43. DOI: 10.1364/OPTICAQ.500021
20. A. Kwiatkowski, E. Shojaee, S. Agrawal, A. Kyle, C. Rau, S. Glancy, and E. Knill. Constraints on Gaussian Error Channels and Measurements for Quantum Communication. Physical Review A 107 (2023), 042604. DOI: 10.1103/PhysRevA.107.042604 
21. A. Kyle, C. Rau, W. Warfield, A. Kwiatkowski, J. D. Teufel, K. Lehnert, and T. Dennis. Optically Distributing Remote Two-node Microwave Entanglement Using Doubly Parametric Quantum Transducers. Physical Review Applied  20 (2023), 014005. DOI: 10.1103/PhysRevApplied.20.014005
22. L. Li, D. Young, V. Albert, K. Noh, C. Zou, and L. Jiang. Phase-Engineered Bosonic Quantum Codes. Physical Review A 103 (2021), 062427. DOI: 10.1103/PhysRevA.103.062427 
23. D. Lum, M. Mazurek, A. Mikhaylov, K. Parzuchowski, R. Wilson, R. Jimenez, T. Gerrits, M. Stevens, M. Cicerone, and C. Camp. Witnessing the Survival of Time-Energy Entanglement through Biological Tissue and Scattering Media. Biomedical Optics Express 12 (2021), 3658-3670. DOI: 10.1364/BOE.423743 
24. L. Madsen, F. Laudenbach, M. Askarani, F. Rortais, T. Vincent, J. Bulmer, F. Miatto, L. Neuhaus, L. Helt, M. Collins, A. Lita, T. Gerrits, S. Nam, V. Vaidya, M. Menotti, I. Dhand, Z. Vernon, N. Quesada, and J. Lavoie. Quantum Computational Advantage with a Programmable Photonic Processor. Nature 606 (2022) 75-81. DOI:s41586-022-04725-x
25. R. Nehra, M. Eaton, C. González-Arciniegas, M. Kim, T. Gerrits, A. Lita, S. Nam, and O. Pfister. Generalized Overlap Quantum State Tomography. Physical Review Research 2 (2020), 042002. DOI: 10.1103/PhysRevResearch.2.042002
26. C. Rau, A. Kyle, A. Kwiatkowski, E. Shojaee, J. Teufel, K. Lehnert, and T. Dennis. Entanglement Thresholds of Doubly Parametric Quantum Transducers. Physical Review Applied 17 (2022) 044057. DOI: 10.1103/PhysRevApplied.17.044057
27. L. Shalm, Y. Zhang, J. Bienfang, C. Schlager, M. Stevens, M. Mazurek, C. Abellán, W. Amaya, M. Mitchell, M. Alhejji, H. Fu, J. Ornstein, R. Mirin, S. Nam, and E. Knill. Device-Independent Randomness Expansion with Entangled Photons. Nature Physics 17 (2021), 452-456. DOI: 10.1038/s41567-020-01153-4
28. R. Srinivas, S. Burd, H. Knaack, R. Sutherland, A. Kwiatkowski, S. Glancy, E. Knill, D. Wineland, D. Leibfried, A. Wilson, D. Allcock, and D. Slichter. High-fidelity Laser-free Universal Control of Trapped Ion Qubits.  Nature 597 (2021), 209-213. DOI: 10.1038/s41586-021-03809-4 
29. M. Stephens, M. White, T. Gerrits, N. Tomlin, and J. Lehman. Quantum Calibrations Traceable through Classical Radiometry. Measurement: Sensors 18 (2021) 100267. DOI: 10.1016/j.measen.2021.100267
30. T. Sturges, T. McDermott, A. Buraczewski, W. Clements, J. Renema, S. Nam, T. Gerrits, A. Lita, W. Kolthammer, A. Eckstein, I. Walmsley, and M. Stobińska. Quantum Simulations with Multiphoton Fock States. Quantum Information 7 (2021), 91. DOI: 10.1038/s41534-021-00427-w
31. G. Thekkadath, M. Mycroft, B. Bell, C. Wade, A. Eckstein, D. Phillips, R. Patel, A. Buraczewski, A. Lita, T. Gerrits, S. Nam, M. Stobińska, A. Lvovsky, and I. Walmsley. Quantum-enhanced Interferometry with Large Heralded Photon-Number States. New Journal of Physics Quantum Information6 (2020), 89. DOI:10.1038/s41534-020-00320-y 
32. Y. Tong, V. Albert, J. McClean, J. Preskill, and Y. Su. Provably Accurate Simulation of Gauge Theories and Bosonic Systems. Quantum 6 (2022) 816 DOI: 10.22331/q-2022-09-22-816
33. B. Weber, S. Kalantre, T. McJunkin, J. Taylor, and J. Zwolak. Theoretical Bounds on Data Requirements for the Ray-based Classification. SN Computer Science 3:1 (2022), 57. DOI: 10.1007/s42979-021-00921-0 
34. D. Wu and V. Albert. Approximating the Two-mode Two-photon Rabi Model. Physics Letters A 422 (2022), 127779. DOI: 10.1016/j.physleta.2021.127779 
35. Y. Xu, Y. Wang, E.-J. Kuo, and V. Albert. Qubit-Oscillator Concatenated Codes: Decoding Formalism and Code Comparison. PRX Quantum 4 (2023), 020342. DOI: 10.1103/PRXQuantum.4.020342 
36. C. You, M. Hong, P. Bierhorst, A. Lita, S. Glancy, S. Kolthammer, E. Knill, S. Nam, R. Mirin, O. Magaña-Loaiza, and T. Gerrits.  Scalable Multiphoton Quantum Metrology with Neither Pre-nor Post-selected Measurements. Applied Physics Reviews 8 (2021) 041406. DOI: 10.1063/5.0063294
37. Y. Zhang, H. Lo, A. Mink, T. Ikuta, T. Honjo, H. Takesue, and W. Munro. A Simple Low-Latency Real-Time Certifiable Quantum Random Number Generator. Nature Communications 12 (2021), 1056. DOI: 10.1038/s41467-021-21069-8 
38. J. Ziegler, T. McJunkin, E. Joseph, S. Kalantre, B. Harpt, D. Savage, M. Lagally, M. Eriksson, J. Taylor, and J. Zwolak. Toward Robust Autotuning of Noisy Quantum Dot Devices. Physical Review Applied 17:2 (2022) 024069. DOI: 10.1103/PhysRevApplied.17.024069
39. J. Ziegler, F. Luthi, M. Ramsey, F. Borjans, G. Zheng, and J. Zwolak. Tuning Arrays with Rays: Physics-informed Tuning of Quantum Dot Charge States. Physical Review Applied 20:3 (2023), 034067. DOI: 10.1103/PhysRevApplied.20.034067
40. J. Ziegler, F. Luthi, M. Ramsey, F. Borjans, G. Zheng, and J. Zwolak. Automated Extraction of Capacitive Coupling for Quantum Dot Systems. Physical Review Applied 19:5 (2023), 054077. DOI: 10.1103/PhysRevApplied.19.054077 
41. J. Zwolak, T. McJunkin, S. Kalantre, S. Neyens, E. MacQuarrie, M. Eriksson, and J. Taylor. Ray-Based Framework for State Identification in Quantum Dot Devices. PRX Quantum 2:2 (2021), 020335. DOI: 10.1103/PRXQuantum.2.020335
42. J. Zwolak and J. Taylor. Colloquium: Advances in Automation of Quantum Dot Devices Control. Reviews of Modern Physics 95:1 (2023), 011006. DOI: 10.1103/RevModPhys.95.011006 

Mathematical Foundations of Measurement Science for IT

1. H. Ahmadi, A.Nag, Z. Khar, K. Sayrafian, and S. Rahardja. Networked Twins and Twins of Networks: An Overview on the Relationship Between Digital Twins and 6G, IEEE Communications Standards 5:4 (December 2021), 154-160, Dec. 2021. DOI: 10.1109/MCOMSTD.0001.2000041
2. L. Freeman, F. Batarseh, D. R. Kuhn, M. Raunak, and R. Kacker. The Path to Consensus on Artificial Intelligence Assurance. IEEE Computer 55 (2022) 82-86. DOI: 10.1109/MC.2021.3129027
3. B. Garn, D. Schreiber, D. Simos, D. R. Kuhn. J. Voas, and R. Kacker. Combinatorial Methods for Testing IoT Smart Home Systems. Journal of Software, Testing, Verification and Reliability 32 (2022) 1805. DOI: 10.1002/stvr.1805 
4. L. Hu, W. Wong, D. R. Kuhn, R. Kacker, and S. Li. CT-IoT: A Combinatorial Testing-based Path Selection Framework for Effective IoT Testing. Empirical Software Engineering 27 (2022) 32. DOI: 10.1007/s10664-021-10017-1
5. R. Kacker, D. Kuhn, Y. Lei, and D. Simos. Factorials Experiments, Covering Arrays, and Combinatorial Testing. Mathematics in Computer Science 15 (2021), 715-739. DOI: 10.1007/s11786-021-00502-7 
6. R. Kacker, D. R. Kuhn, Y. Lei, and D. Simos. Measurement of the Adequacy of a Test Suite with Respect to the Modeled Test Space. IEEE Software 39 (2022) 62-67. DOI: 10.1109/MS.2021.3108060
7. L. Kampel, D. Simos, D. R. Kuhn, and R.  Kacker. An Exploration of Combinatorial Testing-based Approaches to Fault Localization for Explainable AI. Annals of Mathematics and Artificial Intelligence 90 (2021) 951-964. DOI: 10.1007/s10472-021-09772-0
8. V. Mai, R. La, and A. Battou. Optimal Cybersecurity Investments in Large Networks using SIS Model: Algorithm Design. IEEE/ACM Transactions on Networking 29:6 (2021), 2453-2466. DOI: 10.1109/TNET.2021.3091856
9. C. Rao, N. Li, Y. Lei, J. Guo, Y. Zhang, R. Kacker, and D. R. Kuhn. Combinatorial Test Generation for Multiple Input Models with Shared Parameters. IEEE Transactions on Software Engineering48 (2022) 2606-2628. DOI: 10.1109/TSE.2021.3065950
10. A. Weiss, S. Gautham, A. Jayakumar, C. Elks, D. Kuhn, R. Kacker, and T. Preusser. Understanding and Fixing Complex Faults in Embedded Systems. IEEE Computer 54:1 (2021), 49-60. DOI: 10.1109/MC.2020.3029975

Mathematical Knowledge Management

1. B. Alexander, H. Cohl, and H. Volkmer. Internal and External Harmonics in Bi-cyclide Coordinates. Journal of Physics A: Mathematical and Theoretical, 56 325203 (2023). DOI: 10.48550/arXiv.2303.02235 
2. K. Alladi, H. Cohl, F. Garvan, M. Ismail, and H. Rosengren. Preface to Special Issues in Memory of Richard Askey. The Ramanujan Journal, Special Issue in Memory of Richard Askey 61 (2023), 1-6. DOI: 10.1007/s11139-023-00732-2
3. L. Bi, H. Cohl, and H. Volkmer. Expansion for a Fundamental Solution of Laplace’s Equation in Flat-Ring Cyclide Coordinates. Symmetry, Integrability and Geometry: Methods and Applications 18 (2022) 41. DOI: 10.3842/SIGMA.2022.041
4. L. Bi, H. Cohl, and H. Volkmer. Peanut Harmonic Expansion for a Fundamental Solution of Laplace’s Equation in Flat-ring Coordinates. Analysis Mathematica 48 (2022) 961-989. DOI: 10.1007/s10476-022-0175-1
5. H. Cohl, J. Park, and H. Volkmer. Gauss Hypergeometric Representations of the Ferrers Function of the Second Kind. Symmetry, Integrability and Geometry: Methods and Applications 17 (2021), 053. DOI: 10.3842/SIGMA.2021.053 
6. H. Cohl, M. Schubotz, and O. Teschke. Connecting Islands: Bridging zbMATH and DLMF with Scholix, a Blueprint for Expert Knowledge Systems. European Mathematical Society Magazine 120 (2021), 66-67. DOI: 10.4171/MAG-35
7. H. Cohl, R. Costas-Santos, P. Hwang, and T. Wakhare. Generalizations of Generating Functions for Basic Hypergeometric Orthogonal Polynomials. Open Journal of Mathematical Sciences 6 (2022) 248-261. DOI: 10.48550/arXiv.1411.1371
8. H. Cohl and R. Costas-Santos. On the Relation Between Gegenbauer Polynomials and the Ferrers Function of the First Kind. Analysis Mathematica48 (2022) 695-716. DOI: 10.1007/s10476-022-0123-0
9. H. Cohl, R. Costas-Santos, P. Hwang, and T. Wakhare. Generalizations of Generating Functions for Basic Hypergeometric Orthogonal Polynomials. Open Journal of Mathematical Sciences 6:1 (2022), 248-261. DOI: 10.48550/arXiv.1411.1371
10. H. Cohl and R. Costas-Santos. Symmetry of Terminating Basic Hypergeometric Series Representations of the Askey–Wilson Polynomials. Journal of Mathematical Analysis and Applications 517:1 (2023), 126583. DOI: 10.1016/j.jmaa.2022.126583
11. H. Cohl, J. Hirtenstein, J. Lawrence, and L. Ritter. Gegenbauer Expansions and Addition Theorems for a Binomial and Logarithmic Fundamental Solution of the even-dimensional Euclidean polyharmonic Equation. Journal of Mathematical Analysis and Applications 517:2 (2023), 126576. DOI: 10.1016/j.jmaa.2022.126576 
12. H. Cohl and R. Costas-Santos. Nonterminating Transformations and Summations Associated with some q-Mellin-Barnes Integrals. Advances in Applied Analysis 147 (2023), 102517. DOI: 10.1016/j.aam.2023.102517 
13. H. Cohl and R. Costas-Santos. Utility of Integral Representations for Basic Hypergeometric Functions and Orthogonal Polynomials. The Ramanujan Journal, Special Issue in Memory of Richard Askey, 61:2 (2023), 649-674. DOI: 10.1007/s11139-021-00509-5 
14. H. Cohl and L. Ritter. Two-dimensional Contiguous Relations for the Linearization Coefficients of Classical Orthogonal Polynomials. Integral Transforms and Special Functions34:9 (2023), 635-658. DOI: 10.1080/10652469.2023.2180502 
15. H. Cohl and R. Costas-Santos. Multi-integral Representations for Jacobi Functions of the First and Second Kind. Arab Journal of Basic and Applied Sciences, 30:1 (2023), 583-592. DOI: 10.1080/25765299.2023.2268911
16. P. Scharpf, M. Schubotz, C. Breitinger, H. Cohl, and B. Gipp. Discovery and Recognition of Formula Concepts using Machine Learning. Scientometrics 128 (2023), 4971-5025. DOI: 10.48550/arXiv.2303.01994

In Conference Proceedings

Mathematics of Metrology

1. Z. Chen, J. Wen, A. Kearsley, and A. Pertzborn Smoothing Techniques in Dynamic Building System Simulation. In Proceedings of the 2021 International Conference on Instrumentation, Control, and Automation, Online, August 25-7, 2021. DOI:10.1109/ICA52848.2021.9625664
2. Z. Grey, S. Mosleh, J. Rezac, Y. Ma, J. Coder, and A. Dienstfrey. Optimizing Unlicensed Band Spectrum Sharing with Subspace-Based Pareto Tracing. In Proceedings of the IEEE International Conference on Communications, Montreal, Canada, June 14-23, 2021, 1-7. DOI: 10.1109/ICC42927.2021.9500533
3. Z. Guo, J. K. Song, G. Barbastathis, M. E. Glinsky, C. T. Vaughan, K. W. Larson, B.  K. Alpert, and Z. H. Levine. Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography. In Machine Learning for Scientific Imaging 2022, IS&T Electronic Imaging 2022. DOI: 10.2352/EI.2022.34.5.MLSI-202
4. R. Kacker. What Did the Current SI Do to the Uncertainties in Measurement of Defining Constants? In Proceedings of the 2023 Conference: Sensor and Measurement Science International (SMSI 2023), Nuremberg, Germany, May 8-11, 2023. DOI: 10.5162/SMSI2023/A7.1
5. S. Pamidighantam, D. De Silva, M. Christie, S. Mhatre, A. Scrinzi, and B. Schneider. Advanced Application User Interfaces for Time-Dependent Recursive IndeXing (tRecX) Code: from Design to Production Deployment. PEARC '23: Practice and Experience in Advanced Research Computing. 2023, 237–241. DOI: 10.1145/3569951.3597569 
6. D. Schug, S. Yerramreddy, R. Caruana, C. Greenberg, and J. P. Zwolak. Extending Explainable Boosting Machines to Scientific Image Data. In: Proceedings of the Machine Learning and the Physical Sciences Workshop, (NeurIPS 2023), New Orleans, LA, USA [December 15, 2023] (2023). 
7. J. Zwolak, S. Kalantre, T. McJunkin, B. Weber, and J. Taylor. A Ray-based Classification Framework for High-Dimensional Data. In Proceedings of the Machine Learning and the Physical Sciences Workshop at NIPS 2020 (NeurIPS 2020), Vancouver, Canada, December 11, 2020.   

Mathematics of Biotechnology

1. K. Krhac, K. Sayrafian, U. Bengi, and S. Dumanli. A Wearable Wireless Monitoring System for the Detection of Pulmonary Edema. In Proceedings of the E-Health Symposium, IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, December 7-11, 2021. DOI: 10.1109/GLOBECOM46510.2021.9685118
2. H. Mahboubi, K. Sayrafian, and A. Aghdam. Adaptive Maximization of Harvested Kinetic Energy for Small Wearable Medical Sensors. IEEE International Conference on Communication Applications (IEEE ICC 2023), Rome, Italy, May 29-31, 2023. DOI:10.1109/ICC45041.2023.10279411
3. M. Roudneshin, K. Sayrafian, and A. G. Aghdam. Maximizing Harvested Energy in Coulomb Force Parametric Generators. In IEEE American Control Conference (IEEE ACC), Atlanta, GA, USA, June 8-10, 2022. DOI: 10.23919/ACC53348.2022.9867451
4. M. Roudneshin, K. Sayrafian, and A. G. Aghdam. An Asymmetric Adaptive Approach to Enhance Output Power in Kinetic-Based Microgenerators. In IEEE Sensors 2022 Conference, Dallas, TX, October 30 - November 2, 2022. DOI: 10.1109/SENSORS52175.2022.9967112
5. M. Särestöniemi, C. Pomalaza-Raez, K. Sayrafian, and J. Iinatti. In-Body Propagation at ISM and UWB Frequencies for Abdominal Monitoring Applications. In Proceedings of the 4th IEEE International Workshop on IoT-Health, IEEE International Conference on Communications 2021, Online, June 14-23, 2021.

 DOI:10.1109/ICCWorkshops50388.2021.9473828 

1. M. Särestöniemi, C. Pomalaza-Raez, K. Sayrafian, T. Myllylä, and J. Iinatti. A Preliminary Study of RF Propagation for High Data Rate Brain Telemetry. In Proceedings of the 16th EAI International Conference on Body Area Networks (BodyNets 2021), Online, October 25-26, 2021. 
2. M. Särestöniemi, K. Sayrafian, M. Sonkki, and J. Iinatti. A Preliminary Study of On/Off-Body Propagation Channels for Brain Telemetry Using a Flexible Wearable Antenna. 17^th IEEE International Symposium on Medical Information and Communication Technology (IEEE ISMICT 2023), Lincoln, NE, May 10-12, 2023. DOI: 10.1109/ISMICT58261.2023.10152221 

Materials Modeling

1. B. Barnes and M.-A. Henn. Addressing Misclassification Costs in Machine Learning Through Asymmetric Loss Functions. In SPIE 12496 Metrology, Inspection, and Process Control XXXVII, 124961C, San Jose, California, February 26-March 2, 2023. DOI: 10.1117/12.2662027 
2. J. Bienfang, T. Gerrits, P. Kuo, A. Migdall, S. Polyakov, and O. Slattery. A Single-Photon Dictionary to Support the Emerging Quantum Industry. Technical Digest Series of Optica, CLEO: Applications and Technology 2023, San Jose, California, May 7-12, 2023. DOI: 10.1364/CLEO_AT.2023.AM4N.7 
3. I. Burenkov, A. Semionova, Hala, T. Gerrits, A. Rahmouni, D. Anand, Y. Li-Baboud, O. Slattery, A. Battou, and S. Polyakov. Fundamental Coexistence Limit of Quantum States with White Rabbit Synchronization in Quantum Networks. In Technical Digest Series of Optica, CLEO: Applications and Technology 2023, San Jose, CA, US, May 2023, FM1A.4. DOI: 10.1364/CLEO_FS.2023.FM1A.4  
4. I. Burenkov, A. Semionova, T. Gerrits, A. Rahmouni, D. Anand, Y. Li-Baboud, O. Slattery, A. Battou, and S. Polyakov. Coexistence of 100 Wave-Multiplexed Quantum Channels with Classical Synchronization. In SPIE Photonics West Proceedings Volume PC12446, Quantum Computing, Communication, and Simulation III, San Francisco, CA, March 2023. DOI: 10.1117/12.2648488  
5. J. Fong, P. Marcal, R. Rainsberger, N. Heckert, J. Filliben, S. Doctor, and N. Finney Jr. A Multi-Scale Failure-Probability-and-NDE-Based Fatigue Life Model for Estimating Component Co-Reliability of Uncracked and Cracked Pipes. In Proceedings of the 2021 ASME Pressure Vessels & Piping Division Conference, Online, July 12-16, 2021, PVP2021-62169, V001T01A029. DOI: 10.1115/PVP2021-62169
6. J. Fong, P. Marcal, S. Freiman, N. Heckert, and J. Filliben. Fatigue-life Prediction and Design for Uncracked and Cracked Components: Deterministic, A- and B-basis Probabilistic, and Reliability Target Approaches. In Proceedings of the 2022 ASME Pressure Vessels & Piping Division Conference, July 17-22, 2022, Las Vegas, NV, PVP2022-84851. DOI: 10.1115/PVP2022-84851
7. J. Fong, N. Heckert, P. Marcal, and M. Cohn. A Failure-Probability and Damage-state-based Fatigue and Creep Model in Thermal Fatigue. In 2023 ASME Pressure Vessels & Piping Division Conference, Atlanta, GA, July 16-21, 2023.  DOI: 10.1115/PVP2023-106831
8. J. Fong, N. Finney, Jr., S. Doctor, and N. Heckert. A Quantitative Relationship Between the Pod Qualification of an Inspector and the Estimated Upper Bound Failure Probability of a Fatigue-loaded Uncracked Component When the Inspector Found No Crack. In 2023 ASME 50th Annual Review of Progress in Quantitative Nondestructive Evaluation Conference, Austin, TX, July 24-27, 2023. DOI: 10.1115/QNDE2023-108683
9. S. Langer and A. Reid. Calculating Voxel-Polyhedron Intersections for Meshing Images. In Proceedings of the 29th International Meshing Roundtable, June 21-25, 2021.  DOI: 10.5281/zenodo.5559225

High Performance Computing and Visualization

1. C. Hung, J. Hare, B. Rinderspacher, W. Peregrim, S. Kase, S. Su, A. Raglin, and J. Richardson. ARL Battlespace: A Platform for Developing Novel AI for Complex Adversarial Reasoning in MDO. In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, Orlando, Florida, June 6, 2022. DOI: 10.1117/12.2622227
2. S. Jabbireddy, S. Li, X. Meng, J. E. Terrill, A. Varshney, T. Hoelt, W. Aigner, and B. Wang, Accelerated Volume Rendering with Volume Guided Neural Denoising. In Proceedings of the EUROVIS 25th EuroGraphics Conference on Visualization, Leipzig, Germany, June 12-16, 2023. DOI: 10.2312/evs.20231042 
3. S. Lau, J. Lew, C. Ho and S. Su. Exploratory Investigation on a Naïve Pseudo-Labelling Technique for Liquid Droplet Images Detection using Semi-supervised Learning. In Proceedings of 2021 IEEE International Conference on Computing (ICOCO 2021), November 17-19, 2021, 353-359.  DOI: 10.1109/ICOCO53166.2021.9673553
4. S. Su, S. Kase, C. Hung, J. Hare, B. Rinderspacher, and C. Amburn. Mixed Reality Visualization of Friendly vs Hostile Decision Dynamics. In Proceedings of the Virtual, Augmented and Mixed Reality. HCII 2021. Lecture Notes in Computer Science 12770. Springer, Cham. DOI: 10.1007/978-3-030-77599-5_37
5. S. Su, W. Sherman, S. Satterfield, T. Griffin, S. Ressler, W. George, S. Feng, and J. Terrill. Visualization Ecology Applications for Measurement Science: A Visualization Gap Approach. In VisGap - The Gap between Visualization Research and Visualization Software, Rome, Italy, June 13, 2022, DOI: 10.2312/visgap.20221057
6. S. Su, W. Sherman, I. Lopez Coto, K. Sayrafian, and J. Terrill. Immersive ParaView: An Immersive Scientific Workflow for the Advancement of Measurement Science. In Proceedings of 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Singapore, October 17-21, 2022. DOI: 10.1109/ISMAR-Adjunct57072.2022.00034
7. S. Su, I. Lopez-Coto, W. Sherman, K. Sayrafian, and J. Terrill. Immersive ParaView: An Immersive Scientific Workflow for the Advancement of Measurement Science. In 21st IEEE International Symposium on Mixed and Augmented Reality (IEEE ISMAR), Singapore, October 17-21, 2022. DOI: 10.1109/ISMAR-Adjunct57072.2022.00034 

Quantum Information

1. A. Arora, A. Coladangelo, M. Coudron, A. Gheorghiu, U. Singh, and H. Waldner. Quantum Depth in the Random Oracle Model. In Proceedings of the 55th Annual ACM Symposium on Theory of Computing (STOC 2023). Orlando, FL, June 20-23, 2023, 1111–1124. DOI: 10.1145/3564246.3585153
2. A. Childs, M. Coudron, and A. Gilani. Quantum Algorithms and the Power of Forgetting. In 14th Innovations in Theoretical Computer Science Conference, Leibniz International Series in Informatics 251 (2023), 37. DOI: 10.4230/LIPIcs.ITCS.2023.37 
3. N. J. Coble and M. Coudron. Quasi-polynomial Time Approximation of Output Probabilities of Constant-depth, Geometrically-local Quantum Circuits. In Proceedings of the 62nd Annual IEEE Symposium on Foundations of Computer Science (FOCS 2021), Online, February 7-10, 2021. URL: arXiv:2012.05460
4. N. Coble, M. Coudron, J. Nelson, and S. Nezhadi. Local Hamiltonians with No Low-Energy Stabilizer States. In 18th Conference on the Theory of Quantum Computation, Communication and Cryptography, Leibniz International Series in Informatics 266 (2023), 14. DOI: 10.4230/LIPIcs.TQC.2023.14
5. S. Dontha, S. Jie, S. Tan, S. Smith, S. Choi, and M. Coudron. Approximating Output Probabilities of Shallow Quantum Circuits which are Geometrically Local in any Fixed Dimension. In 17th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2022), Urbana-Champaign, IL, July 11-15, 2022, 1-17. DOI: 10.48550/arXiv.2202.08349
6. T. Gerrits, I. Burenkov, Y. Li-Baboud, A. Rahmouni, D. Anand, Hala, O. Slattery, A. Battou, and S. Polyakov. White Rabbit-assisted Quantum Network Node Synchronization with Quantum Channel Coexistence.  In Proceedings of the 2022 Conference on Lasers and Electro-Optics (CLEO), San Jose, CA, May 15-20, 2022. DOI: 10.1364/CLEO_QELS.2022.FM1C.2 
7. P. Kuo. Towards Noncritical Phasematching in Thin-film Lithium Niobate Waveguides. In Proceedings of SPIE 11985, Nonlinear Frequency Generation and Conversion: Materials and Devices XXI, San Francisco, California, February 21–27, 2022. DOI: 10.1117/12.2614783
8. P. Kuo. Observation of Backward-Wave Spontaneous Parametric Downconversion in Sub-µm PPKTP. Technical Digest Series of Optica, Frontiers in Optics + Laser Science 2022, Rochester, New York, October 17-20, 2022. DOI: 10.1364/FIO.2022.FM5B.7 
9. P. Kuo, D. Reddy, V. Verma, S. Nam, A. Zukauskas, and C. Canalias. Frequency Translation Using Backward-Wave Spontaneous Parametric Downconversion. Technical Digest Series of Optica, CLEO: Science and Innovations 2023, San Jose, California, May 7-12, 2023. DOI: 10.1364/CLEO_SI.2023.SW4G.5 
10. N. Lal, I. Burenkov, Y. Li-Baboud, P. Kuo, T. Gerrits, O. Slattery and S. Polyakov. Towards a Scalable Network Source of Single Photons. In Proceedings of the  SPIE PC12446, Quantum Computing, Communication, and Simulation III, SPIE Quantum West, San Francisco, CA, March 2023. DOI: 10.1117/12.2650314 
11. L. Ma and L. Ding. Hybrid Quantum Edge Computing Network. In Proceedings of the 2022 Conference of the Society of Photo-Optical Instrumentation Engineers (SPIE): Optics and Photonics, October 2022. Proceedings of SPIE 12238 (2022) 122380F-1. DOI: 10.1117/12.2633020
12. W. McKenzie, Y. Li-Baboud, M. Morris, G. Baumgartner, A. Rahmouni, P. Kuo, O. Slattery, B. Crabill, M. Merzouki, A. Battou, and T. Gerrits. Sub-200 ps Quantum Network Node Synchronization over a 128 km Link White Rabbit Architecture. Technical Digest Series of Optica, CLEO: Fundamental Science 2023, San Jose, California, May 7-12, 2023. DOI: CLEO_FS.2023.FF3A.3 
13. A. Rahmouni, T. Gerrits, A. Migdall, O. Slattery, P. Shaw, and J. Rice. “A Self-validated Detector for Characterization of Quantum Network Components.” In proceedings of the 2022 Conference on Lasers and Electro-Optics (CLEO), May 2022. DOI:9890243
14. A. Rahmouni, T. Gerrits, and O. Slattery. Progress on a Portable Entangled Photon Source and Receiver for Quantum Networking Metrology. In Proceedings of the 2022 Quantum 2.0 Conference and Exhibition, June 13-16, 2022, QTh3C.3. DOI: 10.1364/QUANTUM.2022.QTh3C.3
15. A. Rahmouni, L. Ma, X. Tang, T. Gerrits, L. Cai, Q. Li, and O. Slattery. Towards Entangled Photon Pair Generation from a SiC-based Microring Resonator. In Proceedings of the 2022 Conference of the Society of Photo-Optical Instrumentation Engineers (SPIE): Optics and Photonics, San Diego, CA, October 2022. DOI: 10.1117/12.2632597
16. A. Rahmouni, S. Saha, O. Slattery, and T. Gerrits. Hyperspectral Photon-counting Optical Time Domain Reflectometry. In Proceedings of the 2022 Conference of the Society of Photo-Optical Instrumentation Engineers (SPIE): Optics and Photonics, San Diego, CA, October 2022. DOI: 10.1117/12.2633451
17. A. Rahmouni, T. Gerrits, P. Kuo, R. Dileep, M. Lijun, T. Xiao, and O. Slattery. Portable Polarization-entangled Photon Source & Receiver Toolset for Quantum Network Metrology. In Proceedings of Quantum Communications and Quantum Imaging XX 12238 (2022) 122380I. DOI: 10.1117/12.2632997 
18. A. Rahmouni, P. Kuo, Y. Shi, M. Jabir, N. Lal, I. Burenkov, Y. Li-Baboud, M. Merzouki, A. Battou, S. Polyakov, O. Slattery, and T. Gerrits. Experimental Demonstration of Local Area Entanglement Distribution between two Distant Nodes, Coexisting with Classical Synchronization. Technical Digest Series of Optica, CLEO: Fundamental Science 2023, San Jose, California, May 7-12, 2023. DOI: CLEO_FS.2023.FF3A.4 
19. A. Rahmouni, L. Ma, R. Wang, J. Li, X. Tang, T. Gerrits, Qing Li, O. Slattery. Photon Pair Generation with Greater Than 600 Coincidence-to-Accidental Ratio in the 4H-SiC-on-Insulator Platform. In Proceedings of Quantum 2.0, Denver, CO, June 2023. DOI: 10.1364/QUANTUM.2023.QM4A.2  
20. Y. Shi, T. Gerrits, and O. Slattery. Towards Continuous Fiber Birefringence Compensation with Single-Photon-Level Light, In Proceedings of CLEO, San Jose, CA, May 2023. DOI: 10.1364/CLEO_AT.2023.JTh2A.24 
21. O. Slattery, L. Ma, X. Tang, T. Gerrits, A. Rahmouni, and S. Bhushan. The Quantum Communications and Networking Project at the Information Technology Laboratory of NIST. In Proceedings of the 2021 IEEE Conference on Communications and Network Security: Workshop on Quantum Communication and Quantum Cryptography, Virtual Conference, October 4-6, 2021. 
22. O. Slattery and A. Black. Experimental Ambitions for a DC-Area Quantum Network Testbed, In Proceedings of the GOMACTech-2023 Conference, March 2023. 
23. R. Srinivas, S. Burd, H. Knaack, R. Sutherland, A. Kwiatkowski, S. Glancy, E. Knill, D. Wineland, D. Leibfried, A. Wilson, D. Allcock, and D. Slichter. High-fidelity RF/Microwave-based Universal Control of Trapped Ion Qubits. In IEEE/MTT-S International Microwave Symposium  2022, Denver, CO, June 19-24, 2022, 80-83. DOI: 10.1109/IMS37962.2022.9865483 
24. D. Suchetan, S. Tan, S. Smith, S. Choi and M. Coudron. Approximating Output Probabilities of Shallow Quantum Circuits which are Geometrically-local in any Fixed Dimension. In 17th Conference on the Theory of Quantum Computation, Communication and Cryptography Leibniz International Series in Informatics 9 (2022), 1-17. DOI: 10.4230/LIPIcs.TQC.2022.9 

Mathematical Foundations of Measurement Science for IT

1. J. Chandrasekaran, Y. Lei, R. Kacker, and D. Kuhn. A Combinatorial Approach to Explaining Image Classifiers. In Proceedings of the 14-th IEEE International Conference on Software Testing, Verification, and Validation Workshop (ICSTW-2021), Online, April 12-16, 2021, 35-43. DOI: 10.1109/ICSTW52544.2021.00019
2. J. Chandrasekaran, A. Patel, Y. Lei, R. Kacker, and D. Kuhn. Evaluation of T-Way Testing of DNNs in Autonomous Driving Systems. In Proceeding of 2021 IEEE International Conference on Artificial Intelligence Testing (AITest), Online, August 23-26, 2021, 17-18. DOI: 10.1109/AITEST52744.2021.00013
3. J. Chandrasekaran, Y. Lei, R. Kacker, and D. Kuhn. A Combinatorial Approach to Testing Deep Neural Network-based Autonomous Driving Systems. In Proceedings of the 14-th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), Online, April 12-16, 2021, 57-66. DOI: 10.1109/ICSTW52544.2021.00022
4. J. Chandrasekaran, F. Batarseh, L. Freeman, R. Kacker, M. Raunak, and D. R. Kuhn. Enabling AI Adoption through Assurance. In The International FLAIRS Conference Proceedings 35 (2022). DOI: 10.32473/flairs.v35i.130726 
5. B. Cloteaux, V. Marbukh, and K. Sayrafian. Impact of the Exposure Time and Distance Thresholds on the Performance of Automatic Contact Tracing. In 2023 IEEE International Conference on Communications Workshops (ICC Workshops), Rome, Italy, June 1, 2023, 1701-1706. DOI: 10.1109/ICCWorkshops57953.2023.10283674
6. F. Durso, M. Raunak, D. Kuhn, and R. Kacker. Analyzing Failures in AI and Learning Systems (FAILS). In 29th IEEE Software Technology Conference (2022), Gaithersburg, MD, November 18, 2022. DOI:10.1109/STC55697.2022.00010 
7. H. Feng, X. Ren, Q. Wei, Y. Lei, R. Kacker, D. Kuhn, and D. Simos. MagicMirror: Towards High-Coverage Fuzzing of Smart Contracts. In Proceedings of the 2023 IEEE International Conference on Software, Testing, Verification and Validation (ICST 2024), Dublin, Ireland, April 16-22, 2023, 141-152. DOI: 10.1109/ICST57152.2023.00022 
8. B. Garn, D. Lang, M. Leithner, D. Kuhn, R.  Kacker, and D. Simos. Combinatorically XSSing Web Application Firewalls. In Proceedings of the 14th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), Online, April 12-16, 2021, 85-94. DOI: 10.1109/ICSTW52544.2021.00026
9. B. Garn, D. Schreiber, D. Simos, D. Kuhn, J. Voas, and R. Kacker. Summary of Combinatorial Methods for Testing Internet of Things Smart Home Systems. In Proceedings of the 2023 IEEE International Conference on Software, Testing, Verification and Validation Workshops (ICSTW) Dublin, Ireland, April 16-22, 2023, 266-267. DOI: 10.1109/ICSTW58534.2023.00054 
10. A. Jayakumar, S. Gautham, D. Kuhn, B. Simons, A. Collins, T. Dirsch, R. Kacker, and C. Elks. Systematic Software Testing of Critical Embedded Digital Devices in Nuclear Power Applications. In Proceedings of the 31st International Symposium on Software Reliability Engineering Workshops (ISSREW 2020), Online, October 12-15, 2020, 85-90. DOI:10.1109/ISSREW51248.2020.00042
11. A. Jayakumar, D. Kuhn, B. Simons, A. Collins, S. Gautham, R. Hite, R. Kacker, A. Rajagopala, and C. Elks. Pseudo Exhaustive Software Testing Framework for Embedded Digital Devices in Nuclear Power. In Proceedings of the 12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, June 14-17, 2021, 812-823. URL: https://www.ans.org/store/item-700437/
12. K. Khadka, J. Chandrasekaran, Y. Lei, R. Kacker, and D. Kuhn. Synthetic Data Generation Using Combinatorial Testing and Variational Autoencoder. In Proceedings of the2023 IEEE International Conference on Software, Testing, Verification and Validation Workshops (ICSTW) Dublin, Ireland, April 16-22, 2023, 228-236. DOI: 10.1109/ICSTW58534.2023.00048 
13. D. R. Kuhn, M. Raunak, C. Prado, V. Patil, and R. Kacker. Combination Frequency Differencing for Identifying Design Weaknesses in Physical Unclonable Functions. In 2022 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) Valencia, Spain, April 4-13, 2022, 110-117. DOI: 10.1109/ICSTW55395.2022.00032
14. D. Kuhn, M. Raunak, and R. Kacker. Ordered t-way Combinations for Testing State-based Systems. In Proceedings of the 2023 IEEE International Conference on Software, Testing, Verification and Validation Workshops (ICSTW) Dublin, Ireland, April 16-22, 2023, 246-254. DOI: 10.1109/ICSTW58534.2023.00050 
15. E. Lanus, L. Freeman, D. Kuhn, and R. Kacker. Combinatorial Testing Metrics for Machine Learning. In Proceedings of the 14th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), Online, April 12-16, 2021, 81-84. DOI: 10.1109/ICSTW52544.2021.00025
16. V. Mai, R. La, and A. Battou. Optimal Cybersecurity Investments for SIS Model. In Proceedings of the 2020 IEEE Global Communications Conference (Globecom’20), Taipei, Taiwan, December 8-10, 2020. DOI: 10.1109/GLOBECOM42002.2020.9348109
17. V. Mai and R. La. Story of Two Populations in Epidemics: Is Every Infection Counted? In Complex Networks & Their Applications X. COMPLEX NETWORKS 2021 (R. M. Benito, C. Cherifi, H. Cherifi, E. Moro, L. M. Rocha, and M. Sales-Pardo, eds). Studies in Computational Intelligence 1016. Springer, Cham, 229-240. DOI: 10.1007/978-3-030-93413-2_20
18. V. Mai and R. La. Story of Two Populations in Epidemics: Is Every Infection Counted? In Complex Networks & Their Applications X. COMPLEX NETWORKS 2021. Studies in Computational Intelligence 1016 (2021) 229-240. DOI: 10.1007/978-3-030-93413-2_20
19. V. Mai, R. La, T. Zhang, and A. Battou. End-to-End Quality-of-Service Assurance with Autonomous Systems: 5G/6G Case Study. In Proceedings of the 2022 IEEE Consumer Communications and networking Conference (CCNC ‘22), Online, January 8-11, 2022. DOI: 10.1109/CCNC49033.2022.9700514
20. V. Mai, R. La, and A. Battou. Optimal Cybersecurity Investments Using SIS Model: Weakly Connected Networks. In Proceedings of the 2022 IEEE Global Communications Conference (Globecom’20), Hybrid, Rio de Janeiro, Brazil, December 4-8, 2022.

DOI: 10.1109/GLOBECOM48099.2022.10001358

1. V. Mai and R. La. Investments in Robustness of Complex Systems: Algorithm Design. In Proceedings of the 11^th International Conference on Complex Networks & Their Applications (Complex Networks 2022), Palermo, Italy, November 8-10, 2022. DOI: 10.1007/978-3-031-21131-7_32 
2. V. Mai, R. La, and A. Battou. Optimal Cybersecurity Investments Using SIS Model: Weakly Connected Networks. In Proceedings of the 2022 IEEE Global Communications Conference (Globecom’20), Hybrid (Rio de Janeiro, Brazil), December 4-8, 2022. DOI: 10.1109/GLOBECOM48099.2022.10001358 
3. V.-S. Mai, R. La, T. Zhang, Y. Huang, and A. Battou. Federated Learning with Server Learning for Non-IID Data. In Proceedings of the 57th Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, March 22-24, 2023. DOI: 10.1109/CISS56502.2023.10089643 
4. V. Marbukh. Towards Robust Security Risk Metrics for Networked Systems: Work in Progress. In Proceedings of IFIP/IEEE International Symposium on Integrated Network Management, Online, May 17-21, 2021, 658-661. URL: https://dl.ifip.org/db/conf/im/im2021short/211558.pdf
5. V. Marbukh. Towards Economically Efficient Security Risk Reduction. In Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021), Angers, France, September 19-23, 2021, 1199-1199. 
6. V. Marbukh.  Towards Economically Efficient Mitigation of Systemic Risk of Undesirable Contagion. In Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021), Angers, France, September 19-23, 2021, 1206-1206. 
7. V. Marbukh. Towards Risk Adjusted Wireless Access under Jamming: Reliability through Multi-Connectivity.” In Proceedings of the IEEE Consumer Communications & Networking Conference (CCNC’22), Online, January 8-11, 2022. DOI: 10.1109/CCNC49033.2022.9700558
8. V. Marbukh. Towards Robust Fog/Edge Computing Infrastructure with Risk Adjusted Multi-Connectivity. In Proceeding of the 9th International Conference on Future Internet of Things and Cloud (FiCloud’22), Hybrid, Rome, Italy, August 22-24, 2022. DOI: 10.1109/FiCloud57274.2022.00029
9. V. Marbukh. Towards Shapley Value based Security Risk Attribution in Sensor Networks. In Proceedings of the IEEE/ACM Information Processing in Sensor Networks (IPSN’22), Online, May 4-6, 2022. DOI:10.1109/IPSN54338.2022.00060
10. V. Marbukh. Towards Reliability/Security Risk Metrics for Large-Scale Networked Infrastructures: Work in Progress. In Probabilistic Safety Assessment & Management Conference (PSAM’22), Honolulu, Hawaii, June 26 - July 1, 2022, MA26-PSAM16. URL: https://www.iapsam.org/PSAM16/papers/ALL-PSAM16-PAPERS.zip
11. V. Marbukh. Systemic Risk of Undesirable Contagion within System Time Horizon: Work in Progress. In Proceedings of European Conference on Safety and Reliability (ESREL’22), Dublin, Ireland, August 28 -September 1, 2022. URL: https://rpsonline.com.sg/rps2prod/esrel22-epro/esrel2022-extended-abstracts-book.pdf
12. O. Narayan, I. Saniee, and V. Marbukh. Congestion Due to Random Walk Routing. In Complex Networks & Their Applications X. COMPLEX NETWORKS 2021 (R. M. Benito, C. Cherifi, H. Cherifi, E. Moro, L. M. Rocha, and M. Sales-Pardo, eds). Studies in Computational Intelligence 943. Springer, Cham. DOI:10.1007/978-3-030-65347-7_46
13. A. Patel, J. Chandrasekaran, Y. Lei, R. Kacker, and D. R. Kuhn. A Combinatorial Approach to Fairness Testing of Machine Learning Models. In 2022 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) Valencia, Spain, April 4-13, 2022, 94-101. DOI: 10.1109/ICSTW55395.2022.00030
14. K. Sayrafian, B. Cloteaux, V. Marbukh and C. Emiyah. Evaluation of the Bluetooth-based Proximity Estimation for Automatic Exposure Determination. In 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022, 683-686. DOI: 10.1109/CCNC49033.2022.9700648
15. K. Sayrafian, B. Cloteaux, and V. Marbukh. On the Performance of Automatic Exposure Determination Using Bluetooth-based Proximity Estimation. In ICC 2022 - IEEE International Conference on Communications, 2022, 3052-3057. DOI: 10.1109/ICC45855.2022.9838839   
16. K. Sayrafian, B. Cloteaux, and V. Marbukh. Impact of Using Soft Thresholds in Automatic Contact Tracing. In 2022 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM), 2022. 

DOI :10.1109/HealthCom54947.2022.9982790

1. M. Wagner, M. Leithner, D. Simos, D. R. Kuhn, and R. Kacker. Developing Multithreaded Techniques and Improved Constraint Handling for the Tool CAgen. In 2022 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) Valencia, Spain, 4-13 April 2022, 87-93. DOI: 10.1109/ICSTW55395.2022.00029
2. Q. Wei, F. Sikder, H. Feng, Y. Lei, R. Kacker, and D. Kuhn. SmartExecutor: Coverage-Driven Symbolic Execution Guided by a Function Dependency Graph. In Proceedings of the 2023 IEEE Conference on Blockchain Research &Applications for Innovative Networks and Services (BRAINS), Paris, France, October 11-13, 2023. DOI: 10.1109/BRAINS59668.2023.10316942 

Mathematical Knowledge Management

1. A. Greiner-Petter, H. Cohl, A. Youssef, M. Schubotz, A. Trost, R. Dey, A. Aizawa, and B. Gipp. Comparative Verification of the Digital Library of Mathematical Functions and Computer Algebra Systems. In Proceedings of Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2022), Munich, Germany, April 2-7, 2022, Lecture Notes in Computer Science 13243, Springer, (D. Fisman and G. Rosu, eds.) DOI: 10.1007/978-3-030-99524-9_5
2. B. Saunders. Complex Variables, Mesh Generation, and 3D Web Graphics: Research and Technology Behind the Visualizations in the NIST Digital Library of Mathematical Functions. In Proceedings of the Golden Anniversary Celebration of the National Association of Mathematicians, AMS Contemporary Mathematics Series 759, 2020, 145-156. DOI: 10.1090/conm/759/15272

Books

1. H. Cohl and M. Ismail, eds. Lectures on Orthogonal Polynomials and Special Functions: Sixth Summer School, Maryland, 2016. London Mathematical Society Lecture Note Series 464, Cambridge University Press, Cambridge, 2021.

Book Chapters

1. A. Moorthy and A. Kearsley. Pattern Similarity Measures Applied to Mass Spectra. In  Progress in Industrial Mathematics: Success Stories (M. Cruz, C. Parés, and P. Quintela, eds.), SEMA SIMAI Springer Series 5. Springer, Cham. 2021. DOI: 10.1007/978-3-030-61844-5_4
2. M. Ruiz, J. Sims, and B. Padhy. High-precision Hy-CI and E-Hy-CI Studies of Atomic and Molecular Properties. In Advances in Quantum Chemistry (M. Musial, P. E. Hoggan, eds.) 83 (2021)171-208. DOI: 10.1016/bs.aiq.2021.05.010
3. K. Sayrafian and S. Ambroziak. IoT for Healthcare Applications. In Inclusive Radio Communication Networks for 5G and Beyond (C. Oestges and F. Quitin, eds.), Elsevier, 2021, 221-252.

Other Publications

1. H. Cohl, M. Ismail, and H.-H. Wu (eds.) The Legacy of Dick Askey (1933-2019). Notices of the American Mathematica Society 69 (2022) 59-75. DOI: 10.1090/noti2405
2. H. Cohl and M. Ismail (eds.). Liber Amicorum, a Friendship Book for Dick Askey. Celebratio Mathematica. URL: https://celebratio.org/Askey_RA/cover/888/ 
3. R. Kenett and R. Kacker. John Mandel (a brief biography). Wiley StatsRef: Statistics Reference Online (2022). DOI: 10.1002/9781118445112.stat08385
4. B. Saunders and W. Hawkins. Reflections on Dr. Genevieve M. Knight: 1939-2021. MAA Focus: Mathematical Association of America 41:6 (2022) 14-20. URL: http://digitaleditions.walsworthprintgroup.com/publication/?i=732159
5. O. Slattery and Y. Kim. Breakthrough in Teleportation Furthers Quantum Network Development. Nature 605 (2022) 663-668. DOI :d41586-022-01364-0

Technical Reports

1. G. Alagic, D. Apon, D. Cooper, Q. Dang, T. Dang, J. Kelsey, J. Lichtinger, Y.-K. Liu, C. Miller, D. Moody, R. Peralta, R. Perlner, A. Robinson, and D. Smith-Tone. Status Report on the Third Round of the NIST Post-Quantum Cryptography Standardization Process. NISTIR 8413-upd1, September 2022, 102 pages. DOI: 10.6028/NIST.IR.8413
2. J. Berg, T. Gerrits, W. Grice, P. Kumar, A. Migdall, A. Miller, and M. Stephens. Single-Photon Measurement Infrastructure for Quantum Applications (SPMIQA): Needs and Priorities. Quantum Economic Development Consortium Report, July 11, 2022. URL: https://quantumconsortium.org/mp-files/qed-c-single-photon-report.pdf/
3. J. Bernal, J. Lawrence, G. Doğan, and C. Hagwood. On Computing Elastic Shape Distances between Curves in d-dimensional Space. NIST Technical Note 2164, June 2021, 39 pages. DOI: 10.6028/NIST.TN.2164 
4. J. Bernal and J. Lawrence. Partial Elastic Shape Registration of 3D Surfaces Using Dynamic Programming. NIST Technical Note 2274, November 2023. DOI: 10.6028/NIST.TN.2274
5. J. Bienfang, T. Gerrits, P. Kuo, A. Migdall, S. Polyakov, and O. Slattery. Single-Photon Sources and Detectors Dictionary. NIST IR 8486, September 2023. DOI: 10.6028/NIST.IR.8486 
6. R. Boisvert, ed. Applied and Computational Mathematics Division. Summary of Activities for Fiscal Year 2020. NISTIR 8373, May 2021, 162 pages. DOI: 10.6028/NIST.IR.8373
7. R. Boisvert (as working group member). Reproducibility Badging and Definitions, NISO RP-31-2021, National Information Standards Organization, January 15, 2021. DOI: 10.3789/niso-rp-31-2021
8. R. F. Boisvert, ed. Applied and Computational Mathematics Division: A Summary of Activities in Fiscal Year 2021. NISTIR 8423, April 2022, 183 pages.  DOI: https://doi.org/10.6028/NIST.IR.8423
9. R. Boisvert, ed. Applied and Computational Mathematics Division: Summary of Activities for Fiscal Year 2022. NIST IR 8466, May 2023.  DOI: 10.6028/NIST.IR.8466
10. A. Carasso. Data Assimilation in 2D Nonlinear Advection Diffusion Equations, Using an Explicit Stabilized Leapfrog Scheme Run Backward in Time. NIST Technical Note, TN 2227, July 12, 2022.  DOI: 10.6028/NIST.TN.2227
11. L. Espinal, C. Young, and J. Zwolak. Mapping Employee Networks Through the NIST Interactions Survey. NISTIR 8375, June 2021, 53 pages. DOI: 10.6028/NIST.IR.8375
12. E. Fleisig and G. Doğan. VEMOS: A GUI for Evaluation of Similarity Metrics on Complex Data Sets. NIST Technical Note 2160, June 2021, 34 pages. DOI: 10.6028/NIST.TN.2160 
13. A. Kearsley and A. Moorthy. Identifying Fentanyl with Mass Spectral Libraries. 2021. DOI: 10.26434/chemrxiv.14176952.v1
14. K. E. Sharpless, R. L. Avila, R. F. Boisvert, A. K. Dohne, J. Fowler, R. B. Glenn, G. Greene, R. Hanisch, A. Medina-Smith, A. Munter, J. Petrousky, Y. Ralchenko, C. D. Rowland, J. A. St Pierre, A. Wunderlich, and J. Zhang. The NIST Plan for Providing Public Access to Results of Federally Funded Research. NISTIR 8084e2023, October 2023. DOI: 10.6028/NIST.IR.8084e2023
15. M. Theofanos, J. Evans, J.  Zwolak, and S. Prettyman. Survey on Gender, Equity and Inclusion. NISTIR 8362, March 2021, 54 pages. DOI: 10.6028/NIST.IR.8362 
16. J. Wu and R. Kacker. Standard Errors and Significance Testing in Data Analysis for Testing Classifiers. NISTIR 8383, July 2021, 22 pages. DOI: 10.6028/NIST.IR.8383

Blog Posts

1. P. Bedekar, A. Kearsley, and P. Patrone. Optimal Time-dependent Prevalence Estimation and Classification. SIAM News Blog, February 15, 2023. https://sinews.siam.org/Details-Page/optimal-time-dependent-prevalence-estimation-and-classification-1
2. R. DeJaco. Measuring the Accuracy of PCR Tests Can Improve Health Care Beyond COVID-19. NIST Taking Measure Blog, September 13, 2023. URL: https://www.nist.gov/blogs/taking-measure/measuring-accuracy-pcr-tests-can-improve-health-care-beyond-covid-19
3. J. Fong.  My Journey from Designing Dams to Helping Structures Live Their Longest Lives.  NIST Taking Measure Blog, NIST, August 5, 2022. URL: https://www.nist.gov/blogs/taking-measure/my-journey-designing-dams-helping-structures-live-their-longest-lives 
4. A. J. Kearsley. Optimization and Data Analysis for Improved COVID-19 Detection and Measurement. SIAM News, February 18, 2022. URL: https://sinews.siam.org/Details-Page/optimization-and-data-analysis-for-improved-covid-19-detection-and-measurement-2
5. S. Ressler. Will LiDAR Break the 3D Asset Creation Bottleneck? Khronos Group Blog, September 15, 2021. URL: https://www.khronos.org/blog/will-lidar-break-the-3d-asset-creation-bottleneck
6. S. Ressler. Under Pressure: Blaise Pascal, the Barometer and Bike Tires. NIST Taking Measure Blog, June 14, 2023. URL: https://www.nist.gov/blogs/taking-measure/under-pressure-blaise-pascal-barometer-and-bike-tires 
7. S. Ressler. What’s in a Name? The Tesla. NIST Taking Measure Blog, July 10, 2023. URL: https://www.nist.gov/blogs/taking-measure/whats-name-tesla
8. B. I. Schneider.  AMO for All: How Online Portals Are Democratizing the Field of Atomic, Molecular and Optical Physics. NIST Taking Measure Blog, NIST, November 2, 2022. URL: https://www.nist.gov/blogs/taking-measure/amo-all-how-online-portals-are-democratizing-field-atomic-molecular-and-optical 
9. M. Theofanos and J. Zwolak. Diversity and Inclusivity at NIST. Women in Standards News, May 30, 2021. URL: https://womeninstandards.org/diversity-and-inclusivity-at-nist/
10. J. Zwolak. Ada Lovelace: The World’s First Computer Programmer Who Predicted Artificial Intelligence. NIST Taking Measure Blog, March 22, 2023. URL: https://www.nist.gov/blogs/taking-measure/ada-lovelace-worlds-first-computer-programmer-who-predicted-artificial

Recognition

Internal

External

Patents

Patents Awarded

1. G. Cooksey, A. Kearsley, and P. Patrone. Optical Flow Meter for Determining a Flow Rate of a Liquid. Patent US 11035707, June 15, 2021.
2. J. Ullom, G. O’Neil, L. Avila, K. Silverman, D. Swetz, R. Jimenez, W. Doriese, G. Hilton, C. ReNintsema, D. Schmidt, B. Alpert, J. Uhlig, Y. Joe, W. Fullagar, V. Sundstrom, I. Maasilta, and J. Fowler. X-Ray Spectrometer. Patent US 10,914,694 B2, Feb. 9, 2021

Patent Applications in Process

1. S. Buckley, A. McCaughan, A. Dienstfrey, S. Nam. System and Method for Parameter Multiplexed Gradient Descent. Provisional Patent Application, NIST Docket 22-051US1, July 19, 2023. 
2. A. Balijepalli, J. Majikes, A. Kanwal, P. Vallone, K. Kiesler, E. Romsos, and A. Kearsley. US Department of Commerce, assignee. Agile Nucleic Acid Sensor and Measuring a Biomarker. Patent Application US 17/845,682. October 13, 2022. 
3. K. Sayrafian. Lung Fluid Monitor and Monitoring Fluid Level in a Lung. Patent Application Serial Number PCT/US22/48217, October 28, 2022. 
4. G. Cooksey, A. Kearsley, and P. Patrone. Multiplexed Amplitude Modulation Photometer and Performing Multiplexed Amplitude Modulation Photometry. Provisional Patent Application 20210055201. 
5. G. Cooksey, A. Kearsley, and P. Patrone. Serial Flow Cytometer. Provisional Patent Application 20210302300. 
6. A. Kearsley, P. Patrone, E. Romsos, and P. Vallone. System and Method for Data Analysis in Quantitative PCR Measurements. Provisional Patent Application 20210395807.