Adam J. Biacchi | Papers With Code Browse State-of-the-Art Datasets Methods More Newsletter RC2022 About Trends Portals Libraries Sign In Subscribe to the PwC Newsletter × Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. Read previous issues Subscribe Join the community × You need to log in to edit. You can create a new account if you don't have one. Or, discuss a change on Slack. Search Results for author: Adam J. Biacchi Found 3 papers, 2 papers with code Date Published Date Published Github Stars The Joint Automated Repository for Various Integrated Simulations (JARVIS) for data-driven materials design 2 code implementations • 3 Jul 2020 • Kamal Choudhary, Kevin F. Garrity, Andrew C. E. Reid, Brian DeCost, Adam J. Biacchi, Angela R. Hight Walker, Zachary Trautt, Jason Hattrick-Simpers, A. Gilad Kusne, Andrea Centrone, Albert Davydov, Jie Jiang, Ruth Pachter, Gowoon Cheon, Evan Reed, Ankit Agrawal, Xiaofeng Qian, Vinit Sharma, Houlong Zhuang, Sergei V. Kalinin, Bobby G. Sumpter, Ghanshyam Pilania, Pinar Acar, Subhasish Mandal, Kristjan Haule, David Vanderbilt, Karin Rabe, Francesca Tavazza The Joint Automated Repository for Various Integrated Simulations (JARVIS) is an integrated infrastructure to accelerate materials discovery and design using density functional theory (DFT), classical force-fields (FF), and machine learning (ML) techniques. Materials Science Computational Physics 182 Paper Code High-throughput Density Functional Perturbation Theory and Machine Learning Predictions of Infrared, Piezoelectric and Dielectric Responses no code implementations • 2 Oct 2019 • Kamal Choudhary, Kevin F. Garrity, Vinit Sharma, Adam J. Biacchi, Angela R. Hight Walker, Francesca Tavazza Many technological applications depend on the response of materials to electric fields, but available databases of such responses are limited. Materials Science Paper Add Code Assessment of Vacancy Formation and Surface Energies of Materials using Classical Force-Fields 1 code implementation • 3 Apr 2018 • Kamal Choudhary, Adam J. Biacchi, Supriyo Ghosh, Lucas Hale, Angela R. Hight Walker, Francesca Tavazza Using some of the example cases, we show how our data can be used to directly compare different FFs for a material and to interpret experimental findings such as using Wulff construction for predicting equilibrium shape of nanoparticles. Materials Science 182 Paper Code Cannot find the paper you are looking for? You can Submit a new open access paper. Contact us on: hello@paperswithcode.com . Papers With Code is a free resource with all data licensed under CC-BY-SA. Terms Data policy Cookies policy from