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Search Publications

NIST Authors in Bold

Displaying 8976 - 9000 of 9862

Chip-based laser with 1-hertz integrated linewidth

October 28, 2022
Author(s)
Joel Guo, Charles McLemore, Chao Xiang, Dahyeon Lee, Lue Wu, Warren Jin, Megan Kelleher, Naijun Jin, Lin Chang, Avi Feshali, Mario Paniccia, Peter Rakich, Kerry Vahala, Scott Diddams, Franklyn Quinlan, John Bowers
… precision metrology, timekeeping, and the manipulation of quantum systems. Such frequency stability typically relies on …

Antiferromagnetic VdW Phase at the Interface of Sputtered Topological Insulator/Ferromagnet Bi 2 Te 3 /Ni 80 Fe 2 0 Heterostructures

October 6, 2021
Author(s)
Nirjhar Bhattacharjee, Krishnamurthy Mahalingam, Adrian Fedorko, Valeria Lauter, Matthew Matzelle, Bahadur Singh, Alexander Grutter, Alexandria Will-Cole, Michael Page, Michael McConney, Robert Markiewicz, Arun Bansil, Don Heiman, Nian Sun
… for realizing useful topological properties such as the quantum anomalous Hall (QAH) effect, axion insulator state …

A practical superconducting-microcalorimeter X-ray spectrometer for beamline and laboratory science

May 16, 2017
Author(s)
William B. Doriese, Peter Abbamonte, Douglas A. Bennett, Edward V. Denison, Yizhi Fang, Daniel A. Fischer, Colin P. Fitzgerald, Joseph W. Fowler, Johnathon D. Gard, Gene C. Hilton, Cherno Jaye, Jessica L. McChesney, Luis Miaja Avila, Kelsey M. Morgan, Young Il Joe, Galen C. O'Neil, Carl D. Reintsema, Fanny Rodolakis, Daniel R. Schmidt, Hideyuki Tatsuno, Jens Uhlig, Leila R. Vale, Joel N. Ullom, Daniel S. Swetz
… 8-column time-division-multiplexed superconducting quantum-interference device readout, and a …

Accurate keyhole instability prediction in metal additive manufacturing through machine learning-aided numerical simulation

June 3, 2025
Author(s)
Jiahui Zhang, Runbo Jiang, Kangming Li, Pengyu Chen, Xiao Shang, Zhiying Liu, Brian Simonds, Qianglong Wei, Hongze Wang, Jason Hattrick-Simpers, Tao Sun, Anthony Rollet, Yu Zou
A primary obstacle impeding the use of metal additive manufacturing technologies in fatigue-sensitive applications is the presence of porosity, primarily caused by keyhole instability. To tackle this challenge, it is imperative to accurately forecast

Strain-programmable van der Waals magnetic tunnel junctions

June 3, 2025
Author(s)
John Cenker, Dmitry Ovchinnikov, Harvey Yang, Daniel Chica, Catherine Zhu, Jiaqi Cai, Geoffrey Diederich, Zhaoyu Liu (liuzhaoyu), Xiaoyang Zhu, Xavier Roy, Ting Cao, Matthew Daniels, Jiun-Haw Chu, Di Xiao, Xiaodong Xu
… ranging from stable magnetic memory to emerging stochastic computing schemes. Integrating van der Waals magnets into …

Proxima: A Proxy Model-Based Approach to Influence Analysis

September 25, 2024
Author(s)
Sunny Shree, Yu Lei, Raghu Kacker, David Kuhn
Machine learning (ML)-based Artificial Intelligence (AI) systems rely on training data to perform optimally, but the internal workings of how ML models learn from and use this data are often a black- box. Influence analysis provides valuable insights into

A reproducibility study of graph neural networks for materials property prediction

April 30, 2024
Author(s)
Kangming Li, Brian DeCost, Kamal Choudhary, Jason Hattrick-Simpers
Use of machine learning has been increasingly popular in materials science as data-driven materials discovery is becoming the new paradigm. Reproducibility of findings is paramount for promoting transparency and accountability in research and building

A novel approach to interface high-Q Fabry-Perot resonators with photonic circuits

November 3, 2023
Author(s)
Haotian Cheng, Naijun Jin, Zhaowei Dai, Chao Xiang, Joel Guo, Yishu Zhou, Scott Diddams, John Bowers, Owen Miller, Peter Rakich
The unique benefits of Fabry–Pérot resonators as frequency-stable reference cavities and as an efficient interface between atoms and photons make them an indispensable resource for emerging photonic technologies. To bring these performance benefits to next

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon

August 8, 2023
Author(s)
Kevin Maik Jablonka, Alexander Al-Feghali, Shruti Badhwar, Joshua Bocarsly, Stefan Bringuier, Kamal Choudhary, Defne Circi, Samantha Cox, Matthew Evans, Nicolas Gastellu, Jerome Genzling, Maria Victoria Gil, Ankur Gupta, Wibe de Jong, Tao Liu, Sauradeep Majumdar, Garrett Merz, Nicolas Moitessier, Lynda Brinson, Beatriz Mourino, Brenden Pelkie, Mayk Caldas Ramos, Bojana Rankovic, Jacob Sanders, Ben Blaiszik, Andrew White, Ian Foster, Ghezal Ahmad Jan Zia
Chemistry and materials science are complex. Recently, there have been great successes in addressing this complexity using data-driven or computational techniques. Yet, the necessity of input structured in very specific forms and the fact that there is an
Displaying 8976 - 9000 of 9862
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