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Displaying 7701 - 7725 of 73741

Synthesis and Characterization of Bulk Nd 1-x Sr x NiO 2 and Nd 1-x Sr x NiO 3

August 21, 2020

Author(s)

Bi-Xia Wang, Hong Zheng, E. Krivyakina, Omar Chmaissem, Pietro Papa Lopes, Jeffrey W. Lynn, Leighanne C. Gallington, Y. Ren, S. Rosenkranz, J. F. Mitchell, D. Phelan

The recent reports of superconductivity in Nd 1-xSr xNiO 2/SrTiO 3 heterostructures have reinvigorated interest in potential superconductivity of low-valence nickelates. Synthesis of Ni 1+ -containing compounds is notoriously difficult. In the current work

Ultra-low landing energy scanning electron microscopy for nanoengineering applications and metrology

August 21, 2020

Author(s)

Michael T. Postek, Andras Vladar, Dianne L. Poster, Atsushi Muto, Takeshi Sunaoshi

A new and exciting imaging technique being applied to thin films, nanocoatings, nanogels, and nanoparticle analysis is ultra-low accelerating voltage or ultra-low-landing-energy scanning electron microscopy (ULVSEM). Instrument conditions in this mode are

Direct method of extracting complex refractive index from routine Fourier transform infrared reflectance/transmittance measurements

August 20, 2020

Author(s)

Braden E. Czapla, Leonard M. Hanssen

We describe an algorithm to extract the complex refractive index of a material from reflectance and transmittance measurements commonly taken by spectrophotometers. The algorithm combines Kramers- Kronig analysis with an inversion of Fresnel's equations to

Extracting electron densities in n-type GaAs from Raman spectra: Comparisons with Hall measurements

August 20, 2020

Author(s)

Maicol A. Ochoa, James E. Maslar, Herbert S. Bennett

Raman measurements can be utilized as a non-destructive method for determining carrier density in compound semiconductors. Rigorous determination of carrier density involves comparing measured and simulated coupled phonon-plasmon Raman spectra. Theories of

Improving Veteran Transitions to Civilian Cybersecurity Roles: Workshop Report

August 20, 2020

Author(s)

Marian S. Merritt

The shortage of cybersecurity professionals is a significant risk to The United States of America's overall national security and economic prosperity. The U.S. branches of the military provide training and education in cybersecurity, and some transitioning

Measuring Microfluidic Flow Rates: Monotonicity, Convexity and Uncertainty

August 20, 2020

Author(s)

Paul Patrone, Qing Hai Li, Gregory A. Cooksey, Anthony J. Kearsley

A class of non-linear integro-differential equations characterizing microfluidic measurements is considered. Under reasonable conditions, these non-linear integro-differential equations admit solutions that are convex functions of an interesting flow-rate

Smoldering Propensity in Upholstered Furniture: Effects of Mockup Configuration and Foam Thickness

August 20, 2020

Author(s)

Jiuling Yang, Guillermo Rein, Haixiang Chen, Mauro Zammarano

Reduced-scale mock-ups had been developed to assess and regulate smoldering ignition resistance of residential upholstered furniture (RUF). However, there are limited data available on the effects of the mock-up test configuration and foam thickness on

Structural and Dynamical Properties of Potassium Dodecahydro-Monocarba-Closo-Dodecaborate: KCB 11 H 12

August 20, 2020

Author(s)

Mirjana Dimitrievska, Hui Wu, Vitalie Stavila, Olga A. Babanova, Roman V. Skoryunov, Alexei V. Soloninin, Wei Zhou, Benjamin Trump

MCB 11H 12 (M: Li, Na) dodecahydro-monocarba-closo-dodecaborate salt compounds are known to have stellar superionic Li + and Na + conductivities in their high-temperature disordered phases, making them potentially appealing electrolytes in all-solid-state

Four Principles of Explainable Artificial Intelligence (Draft)

August 18, 2020

Author(s)

P Phillips, Carina Hahn, Peter Fontana, David A. Broniatowski, Mark A. Przybocki

We introduce four principles for explainable artificial intelligence (AI) that comprise the fundamental properties for explainable AI systems. They were developed to encompass the multidisciplinary nature of explainable AI, including the fields of computer

Recommendation for Key-Derivation Methods in Key-Establishment Schemes

August 18, 2020

Author(s)

Elaine B. Barker, Lidong Chen, Richard Davis

This Recommendation specifies techniques for the derivation of keying material from a shared secret established during a key-establishment scheme defined in NIST Special Publications 800-56A or 800-56B.

ARES: Automated Risk Estimation in Smart Sensor Environments

August 17, 2020

Author(s)

Athanasios Dimitriadis, Jose L. Flores, Boonserm Kulvatunyou, Nenad Ivezic, Ioannis Mavridis

Industry 4.0 adoption demands integrability, interoperability, composability, and security. Currently, integrability, interoperability and composability are addressed by next-generation approaches for enterprise systems integration such as model-based

Predicting Sorbent-Air Partition Coefficients for Terpenoids at Multiple Temperatures

August 17, 2020

Author(s)

Kavita M. Jeerage, Elijah Holland

Partition coefficients describe the relative concentration of a chemical equilibrated between two phases. In the design of air samplers, the sorbent-air partition coefficient is a critical parameter, as is the ability to extrapolate or predict partitioning

Role of Uncertainty in the Durability of Composite Material Systems

August 17, 2020

Author(s)

Jeffrey T. Fong, Nathanael A. Heckert, James J. Filliben

This paper is a chapter invited by the editor of a book to be published by Elsevier in 2020. The title of the book is "Durability of Composite Systems," and the editor is Prof. Kenneth Reifsnider, N.A.E., University of Texas at Arlington, Arlington, TX, U

Temperature-induced heteroaggregation in polydisperse portlandite suspensions

August 17, 2020

Author(s)

Edward Garboczi, Gaurav Sant, Iman Mehdipour, Narayanan Neithalath, Mathieu Bauchy, Samanvaya Srivastava, Sharu Bhagavathi Kandy

Temperature is well-known to affect the aggregation behavior of colloidal suspensions. This paper elucidates the temperature dependence of the rheology of portlandite (calcium hydroxide: Ca(OH)2) suspensions that feature a high ionic strength and a pH

3D BUILD MELT POOL PREDICTIVE MODELING FOR POWDER BED FUSION ADDITIVE MANUFACTURING

August 16, 2020

Author(s)

Zhuo Yang, Yan Lu, Ho Yeung, Sundar Krishnamurty

Melt pool size is a critical intermediate measure that reflects the outcome of a laser powder bed fusion process setting. Reliable melt pool predictions prior to builds can help users to evaluate potential part defects such as lack of fusion and over

Accelerated Weathering Parameters for Some Aromatic Engineering Thermoplastics. Part 2: Polycarbonate copolymers, polyarylate and ABS

August 16, 2020

Author(s)

Li Piin Sung, James E. Pickett, Olga Kuvshinnikova, Brett Ermi

Understanding the responses of materials to environmental variables is essential for performing meaningful accelerated weathering and service life prediction. Samples of polycarbonate-b-resorcinol polyarylate copolymer (RPA), poly(acrylonitrile-co

Hybrid Modeling Approach for Melt Pool Prediction in Laser Powder Bed Fusion Additive Manufacturing

August 16, 2020

Author(s)

Tesfaye M. Moges, Zhuo Yang, Kevontrez K. Jones, Shaw C. Feng, Paul W. Witherell, Yan Lu

Multi-scale multi-physics computational models are a promising tool to provide detailed insights to understand the process-structure-property-performance relationships in additive manufacturing (AM) processes. To take advantage of the strengths of both

Linking Performance Data and Geospatial Information of Manufacturing Assets through Standard Representations

August 16, 2020

Author(s)

Aaron Hanke, Teodor Vernica, William Z. Bernstein

Interoperability across emerging visualization modalities, including augmented reality (AR) and virtual reality (VR), remains a challenge with respect to industrial applications. One critical issue relates to the lack of standard approaches for

MEASURED DATA ALIGNMENTS FOR MONITORING METAL ADDITIVE MANUFACTURING PROCESSES USING LASER POWDER BED FUSION METHODS

August 16, 2020

Author(s)

Shaw C. Feng, Yan Lu, Albert W. Jones

The number and types of measurement devices used for monitoring and controlling laser powder bed fusion (LPBF) processes and inspecting the resulting AM metal parts have increased rapidly in recent years. The variety of the data collected by such devices

Transient Laser Energy Absorption, Co-axial Melt Pool Monitoring, and Relationship to Melt Pool Morphology

August 16, 2020

Author(s)

Brandon M. Lane, Ivan Zhirnov, Sergey Mekhontsev, Steven E. Grantham, Richard E. Ricker, Santosh Rauniyar, Kevin Chou

Many recent and ongoing studies into the complex melt pool physics during laser powder bed fusion (LPBF) metal additive manufacturing (AM) process measure various aspects of energy transport surrounding the laser-induced melt pool, with focus on laser

Feshbach resonances in p-wave three-body recombination within Fermi-Fermimixtures of open-shell 6-Li and closed-shell 173-Yb atoms

August 14, 2020

Author(s)

Aliana Green, Hui Li, Jun Hui See Toh, Xinxin Tang, Katherine McCormick, Ming Li, Eite Tiesinga, Svetlana Kotochigova, Subhadeep Gupta

We report on observations and modeling of interspecies magnetic Feshbach resonances in dilute ultracold mixtures of open-shell alkali-metal 6 Li and closed-shell 173 Yb atoms with temperatures just above quantum degeneracy for both fermionic species

High-brightness lasing at submicrometer enabled by droop-free fin light-emitting diodes (LEDs)

August 14, 2020

Author(s)

Robin P. Hansen, Amit K. Agrawal, Michael Shur, Jerry Tersoff, Babak Nikoobakht, Yuqin Zong

"Efficiency droop," i.e., a decline in brightness of light-emitting diodes (LEDs) at high electrical currents, limits the performance of all commercial LEDs and has limited the output power of submicrometer LEDs and lasers to nanowatts. We present a fin p

A Toolbox for Isophase-Curvature Guided Computation of Metrology Holograms

August 13, 2020

Author(s)

Ulf Griesmann, Johannes A. Soons, Gufran S. Khan

We describe the algorithmic foundations of an open-source numerical toolbox, written in the Octave language, for the creation of computer-generated binary and multi-level holograms used in interferometric form error measurements of complex aspheric and

Enriching Standards-Based Digital Thread by Fusing As-Designed and As-Inspected Data Using Ontologies

August 13, 2020

Author(s)

Soonjo Kwon, William Z. Bernstein, Laetitia V. Monnier, Raphael Barbau

Realizing the digital thread is essential for linking and orchestrating data across the product lifecycle in smart manufacturing. Linking heterogeneous lifecycle data is critical to maintain associativity and traceability in a digital thread. Recently

Mechanical Quantum Sensing in the Search for Dark Matter

August 13, 2020

Author(s)

Jacob Taylor, Gadi Afek, Sunil Bhave, Daniel Carney, Gordan Krnjaic, David Moore, Robinjeet Singh, Cindy Regal, Benjamin M. Brubaker, Andrew Geraci, Jonathan D. Cripe, Sohitri Ghosh, Jack Harris, Anson Hook, Jonathan Kunjummen, Rafael Lang, Li Tongcang, Tongyan Lin, Zhen Liu, Joseph Lykken, Lorenzo Magrini, Jack Manley, Nobuyuki Matsumoto, Alissa Monte, Fernando Monteiro, Thomas Purdy, C. J. Riedel, Swati Singh, Kanupriya Sinha, Juehang Qin, Dalziel Wilson, Yue Zhao

Numerous astrophysical and cosmological observations are best explained by the existence of dark matter, a mass density which interacts only very weakly with visible, baryonic matter. Searching for the extremely weak signals produced by this dark matter

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