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Search Publications

NIST Authors in Bold

Displaying 3701 - 3725 of 73697

X-ray computed tomography analysis of pore deformation in IN718 made with directed energy deposition via in-situ tensile testing

August 28, 2022
Author(s)
Orion Kafka, Cheng Yu, Puikei Cheng, Sarah Wolff, Jennifer Bennett, Edward Garboczi, Jian Cao, Xianghui Xiao, Wing Kam Liu
Directed energy deposition (DED) is a metal additive manufacturing technique often used for larger-scale components and part repair. It can result in material performance that differs from conventionally processed metal. This work studies spatial and

Effects of local processing parameters on microstructure, texture, and mechanical properties of electron beam powder bed fusion manufactured Ti-6Al-4V

August 27, 2022
Author(s)
Edwin Schwalbach, Jake Benzing, Vikas Sinha, Todd Butler, Adam Pilchak, Kevin Chaput, Norman Schehl, Reji John, Nik Hrabe
Electron beam powder bed fusion scan strategies for parts or part groupings of various sizes and scan line lengths have been found to inadvertently lead to significant variations in crystallographic texture and mechanical properties for Ti–6Al–4V. This

Blockchain-Based Decentralized Authentication for Information-Centric 5G Networks

August 26, 2022
Author(s)
Muhammad Hassan Raza Khan, Davide Pesavento, Lotfi Benmohamed
The 5G research community is increasingly leveraging the innovative features offered by Information Centric Networking (ICN). However, ICN's fundamental features, such as in-network caching, make access control enforcement more challenging in an ICN-based

Control of the Schottky barrier height in monolayer WS2 FETs using molecular doping

August 26, 2022
Author(s)
Siyuan Zhang, Hsun-Jen Chuang, SON LE, Curt A. Richter, Kathleen McCreary, Berend Jonker, Angela R. Hight Walker, Christina Hacker
The development of processes to controllably dope two-dimensional semiconductors is critical to achieving next generation electronic and optoelectronic devices. Understanding the nature of the contacts is a critical step for realizing efficient charge

Interlaboratory Attribute Analytics Metrics from the MAM Consortium Round Robin Study

August 26, 2022
Author(s)
Trina Mouchahoir, John E. Schiel, Rich Rogers, N. Alan Heckert, Benjamin Place, Aaron Ammerman, Xiaoxiao Li, Tom Robinson, Brian Schmidt, Chris M. Chumsae, Xinbi Li, Anton V. Manuilov, Bo Yan, Gregory O. Staples, Da Ren, Alexander J. Veach, Dongdong Wang, Wael Yared, Zoran Sosic, Yan Wang, Li Zang, Anthony M. Leone, Peiran Liu, Richard Ludwig, Li Tao, Wei Wu, Ahmet Cansizoglu, Andrew Hanneman, Greg W. Adams, Irina Perdivara, Hunter Walker, Margo Wilson, Arnd Brandenburg, Nick DeGraan-Weber, Stefano Gotta, Joe Shambaugh, Melissa Alvarez, X. Christopher Yu, Li Cao, Chun Shao, Andrew Mahan, Hirsh Nanda, Kristen Nields, Nancy Nightlinger, Ben Niu, Jihong Wang, Wei Xu, Gabriella Leo, Nunzio Sepe, Yan-Hui Liu, Bhumit A. Patel, Douglas Richardson, Yi Wang, Daniela Tizabi, Oleg V. Borisov, Yali Lu, Ernest L. Maynard, Albrecht Gruhler, Kim F. Haselmann, Thomas N. Krogh, Carsten P. Sonksen, Simon Letarte, Sean Shen, Kristin Boggio, Keith Johnson, Wenqin Ni, Himakshi Patel, David Ripley, Jason C. Rouse, Ying Zhang, Carly Daniels, Andrew Dawdy, Olga Friese, Thomas W. Powers, Justin B. Sperry, Josh Woods, Eric Carlson, K. Ilker Sen, St John Skilton, Michelle Busch, Anders Lund, Martha Stapels, Xu Guo, Sibylle Heidelberger, Harini Kaluarachchi, Sean McCarthy, John Kim, Jing Zhen, Ying Zhou, Sarah Rogstad, Xiaoshi Wang, Jing Fang, Weibin Chen, Ying Qing Yu, John G. Hoogerheide, Rebecca Scott, Hua Yuan
The multi-attribute method (MAM) was conceived as a single assay to potentially replace multiple single-attribute assays that have long been used in process development and quality control (QC) for protein therapeutics. MAM is rooted in traditional peptide

Leveraging Theory for Enhanced Machine Learning

August 26, 2022
Author(s)
Debra Audus, Austin McDannald, Brian DeCost
The application of machine learning to the materials domain has traditionally struggled with two major challenges: a lack of large, curated data sets and the need to understand the physics behind the machine-learning prediction. The former problem is

NIST Explainable AI Workshop Summary

August 25, 2022
Author(s)
P. Jonathon Phillips, Carina Hahn, Peter Fontana, Amy Yates, Matthew Smith
This report represents a summary of the National Institute of Standards and Technology (NIST) Explainable Artificial Intelligence (AI) Workshop, which NIST held virtually on January 26-28, 2021.

c-axis Transport in UTe2: Evidence of Three-Dimensional Conductivity Component

August 24, 2022
Author(s)
Yun S. Eo, Shouzheng Liu, Shanta Saha, Hyunsoo Kim, Sheng Ran, Jarryd A. Horn, Halyna Hodovanets, John Collini, Tristin Metz, Wesley T. Fuhrman, Andriy H. Nevidomskyy, Jonathan D. Denlinger, Nicholas Butch, Michael S. Fuhrer, L. A. Wray, Johnpierre Paglione
We study the temperature dependence of electrical resistivity for currents directed along all crystallographic axes of the spin-triplet superconductor UTe 2. We focus particularly on an accurate determination of the resistivity along the c-axis (ρ c) by

Investigating Statistical Correlation Between Multiple In-Situ Monitoring Datasets for Powder Bed Fusion Additive Manufacturing

August 24, 2022
Author(s)
Zhuo Yang, Yan Lu, Milica Perisic, Yande Ndiaye, Adnan Gujjar, Fan-Tien Cheng, Haw-Ching Yang
In-situ measurements provide vast information for additive manufacturing process understanding and real-time control. Data from various monitoring techniques observes different characteristics of a build process. Fusing multi-modal in-situ monitoring data

NIST Conference Papers Fiscal Year 2021

August 24, 2022
Author(s)
Kathryn Miller, Karen Arcamonte
This Special Publication represents the work of researchers at professional conferences, as reported by NIST employees in Fiscal Year 2021 (October 1, 2020–September 30, 2021). NIST is committed to the idea that results of federally funded research are a

RF Josephson Arbitrary Waveform Synthesizer with Integrated Superconducting Diplexers

August 24, 2022
Author(s)
Akim Babenko, Nathan Flowers-Jacobs, GREGOR LASSER, Justus Brevik, Anna Fox, Paul Dresselhaus, Zoya Popovic, Samuel P. Benz
We present the design, fabrication and characterization of a broadband RF Josephson Arbitrary Waveform Synthesizer (RF-JAWS) with a series array of 4500 Josephson junctions (JJs) and integrated low-pass/high-pass five-pole superconducting diplexers. The

a-Synuclein Interaction with Lipid Bilayer Discs

August 23, 2022
Author(s)
Marija Dubackic, Yun Liu, Elizabeth Kelley, Crispin Hetherington, Michael Haertlein, Juliette Devos, Sara Linse, Emma Sparr, Ulf Olsson
α-Synuclein (aSyn) is a 140 residue long protein that is present in presynaptic termini of nerve cells. The protein is also pathologically associated with Parkinson's disease, where it has been found to self-assemble into long amyloid fibrils forming

Megahertz-rate Ultrafast X-ray Scattering and Holographic Imaging at the European XFEL

August 23, 2022
Author(s)
Thomas J. Silva, Hans Nembach, Mark Keller, Justin Shaw, Nanna Hagstrom, michael schneider, Nico Kerber, Alexander Yaroslavtsev, Erick Parra, Eric Fullerton, Oleg Shpyrko, Christian Gutt, Hermann Durr, Ezio Iacocca, Roopali Kukreja, stefano Bonetti, Emmanuelle Jal
The advent of X-ray free-electron lasers (XFELs) has revolutionized fundamental science, from atomic to condensed matter physics, from chemistry to biology, giving researchers access to X-rays with unprecedented brightness, coherence, and pulse duration
Displaying 3701 - 3725 of 73697
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