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Search Publications by: Daniel Wines (Fed)

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Displaying 1 - 7 of 7

Recent progress in the JARVIS infrastructure for next-generation data-driven materials design

October 18, 2023
Author(s)
Daniel Wines, Ramya Gurunathan, Kevin Garrity, Brian DeCost, Adam Biacchi, Francesca Tavazza, Kamal Choudhary
The Joint Automated Repository for Various Integrated Simulations (JARVIS) infrastructure at NIST is a large-scale collection of curated datasets and tools with more than 80000 materials and millions of properties. JARVIS uses a combination of electronic

Forward and Inverse design of high $T_C$ superconductors with DFT and deep learning

April 21, 2023
Author(s)
Daniel Wines, Kevin Garrity, Tian Xie, Kamal Choudhary
We developed a multi-step workflow for the discovery of next-generation conventional superconductors. 1) We started with a Bardeen–Cooper–Schrieffer (BCS) inspired pre-screening of 55000 materials in the JARVIS-DFT database resulting in 1736 materials with