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Mathematics & Statistics

Modeling & simulation research

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  • Published Date
Displaying 76 - 100 of 488

Uncertainty estimation for 2D magnetic particle imaging

March 21, 2022
Author(s)
Mark-Alexander Henn, Klaus Natorf Quelhas, Solomon I. Woods
Magnetic Particle Imaging (MPI) has in recent years been established as a powerful imaging tool that measures thenon-linear magnetic response of magnetic particles to an applied field. Obtaining quantitative information fromthese images in the form of a

Verifying Executability of SysML Behavior Models Using Alloy Analyzer

February 24, 2022
Author(s)
Jeremy Doerr, Conrad Bock, Raphael Barbau
This report presents an approach to verifying executability of system behavior models by treating them as logical constraint problems solved using Alloy Analyzer, a non-proprietary software tool supporting a textual language for logical constraints and

Analyzing 5G NR-U and WiGig Coexistence with Multiple-Beam Directional LBT

February 15, 2022
Author(s)
Yao Ma, Susanna Mosleh, Jason Coder
The mmWave radio frequency (RF) spectrum allocations provide a large bandwidth and an excellent dynamic spectrum sharing (DSS) opportunity for emerging 5G New-Radio unlicensed (NR-U) and Wireless Gigabit (WiGig) services. To support constructive DSS, we

Peak Fraction Purity and Chromatographic Resolution: Gaussian Peaks Revisited

January 19, 2022
Author(s)
Andre Striegel, Deborah Striegel
For incompletely resolved peak pairs, the purity of the chromatographic or fractographic fractions is oftentimes underestimated by the common user. This results in wasted time and effort while trying to achieve higher resolution than needed for the

The science of the host-virus network

November 24, 2021
Author(s)
Gregory Albery, Daniel J. Becker, Liam Brierley, Cara Brook, Rebecca Christofferson, Lily Cohen, Tad Dallas, Evan Eskew, Anna Fagre, Maxwell Farrell, Emma Glennon, Sarah Guth, Maxwell Joseph, Nardus Mollentze, Ben Neely, Timothee Poisot, Angela Rasmussen, Sadie Ryan, Anna Siodin, Stephanie Seifert, Erin Sorrell, Colin Carlson
Better methods to predict and prevent the emergence of zoonotic viruses could support future efforts to reduce the risk of epidemics. We propose a network science framework for understanding and predicting human and animal susceptibility to viral

HYBRID MODELING OF MELT POOL GEOMETRY IN ADDITIVE MANUFACTURING USING NEURAL NETWORKS

November 17, 2021
Author(s)
Kevontrez Jones, Zhuo Yang, Ho Yeung, Paul Witherell, Yan Lu
Laser powder-bed fusion is an additive manufacturing (AM) process that offers exciting advantages for the fabrication of metallic parts compared to traditional techniques, such as the ability to create complex geometries with less material waste. However

Semiclassical Theory of Photon Echoes with Application to Pr:YSO

November 4, 2021
Author(s)
Zachary H. Levine
Coherent states are used to prepare a crystal using the Atomic Frequency Comb protocol for quantum memory. Here, semiclassical theory is developed and compared to experimental photon echoes of a coherent pulse.

Dual current anomalies and quantum transport within extended reservoir simulations

October 19, 2021
Author(s)
Gabriela Wojtowicz, Justin E. Elenewski, Marek Rams, Michael P. Zwolak
Quantum transport simulations are rapidly evolving, including the development of well–controlled tensor network techniques for many– body transport calculations. One particularly powerful approach combines matrix product states with extended reservoirs —

Calculating Voxel-Polyhedron Intersections for Meshing Images

October 9, 2021
Author(s)
Stephen A. Langer, Andrew Reid
Finite element meshes constructed from 3D images are useful in materials science and medical applications when it is necessary to model the actual geometry of a sample, rather than an idealized approximation of it. Constructing the mesh involves computing

Performance of Reservoir Discretizations in Quantum Transport Simulations

September 29, 2021
Author(s)
Justin E. Elenewski, Gabriela Wojtowicz, Marek Rams, Michael P. Zwolak
Quantum transport simulations require a level of discretization, often achieved through an explicit representation of the electronic reservoirs. These representations should converge to the same continuum limit, though there is a trade-off between a given

An Ice Storage Tank Modelica Model: Implementation and Validation

September 27, 2021
Author(s)
Guowen Li, Yangyang Fu, Amanda Pertzborn, Jin Wen, Zheng O'Neill
Energy storage systems have been gaining attention as a means of load management in grid-interactive efficient buildings. This study investigated the physics of the ice storage tank (IST) and implemented an IST model in Modelica. The developed IST Modelica

Smoothing Techniques in Dynamic Building System Simulation

August 27, 2021
Author(s)
Zhelun Chen, Jin Wen, Anthony Kearsley, Amanda Pertzborn
Efficiently, robustly, and accurately solving systems of nonlinear differential algebraic equations (DAE) for dynamic building system simulation is becoming more important due to the increasing demand to simulate large-scale problems including the

A System for Validating Resistive Neural Network Prototypes

July 27, 2021
Author(s)
Brian Hoskins, Mitchell Fream, Matthew Daniels, Jonathan Goodwill, Advait Madhavan, Jabez J. McClelland, Osama Yousuf, Gina C. Adam, Wen Ma, Muqing Liu, Rasmus Madsen, Martin Lueker-Boden
Building prototypes of heterogeneous hardware systems based on emerging electronic, magnetic, and photonic devices is an increasingly important area of research. On the face of it, the novel implementation of these systems, especially for online learning

Advancing the Accuracy of Computational Models for Double-sided Incremental Forming

July 11, 2021
Author(s)
Newell Moser, Dohyun Leem, Liao Shuheng, Kornel Ehmann, Jian Cao
Double-Sided Incremental Forming (DSIF) is a rapid-prototyping manufacturing process for metal forming that, for low-volume production, is competitively energy-efficient. However, controlling the DSIF process in terms of accuracy and formability is an
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