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Displaying 4326 - 4350 of 143737

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.
Displaying 4326 - 4350 of 143737
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