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Search Publications

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Displaying 6151 - 6175 of 7113

Comparison of Direct and Indirect Measures of Transport Efficiency in Single Particle ICP-MS

December 16, 2023
Author(s)
Karen Murphy, Antonio Montoro Bustos, Lee L. Yu, Monique Johnson, Michael R. Winchester
Accurate calibration of the fraction of introduced sample that is transported to the plasma, termed "transport efficiency" (TE), is required for spICP-MS measurement of particle number concentration (PNC) and for measurement of particle size (diameter, PS)

The TriTon Transformation

August 27, 2012
Author(s)
Daniel C. Smith-Tone
Many new systems have been proposed which hide an easily invertible multivariate quadratic map in a larger structure by adding more variables and introducing some mixing of a random component to the structured system. While many systems which have been

Architecture and Implementation of a Design Repository System

September 1, 2002
Author(s)
Simon Szykman
This paper describes the design and development of a design repository software system. This system is a prototype implementation intended to demonstrate the role of design repositories as part of a vision for the next generation of product development

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 6151 - 6175 of 7113
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