Funder
U.S. Department of Energy
Oak Ridge National Laboratory
Subject
Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science
Reference146 articles.
1. J.M. Anubhav Jain, Shyam Dwaraknath, Nils ER Zimmermann, John Dagdelen, Matthew Horton, Patrick Huck, Donny Winston, Shreyas Cholia, Shyue Ping Ong, Kristin Persson, The materials project: Accelerating materials design through theory-driven data and tools, Springer, 2020, pp. 1751-1784.
2. Machine learning study of magnetism in uranium-based compounds;Ayana Ghosh;Phys. Rev. Mat.,2020
3. Assessment of machine learning approaches for predicting the crystallization propensity of active pharmaceutical ingredients;Ayana Ghosh;CrstEngComm,2019
4. “Accurate machine learning in materials science facilitated by using diverse data sources;Batra;Nature,2021
5. Machine learning force fields: construction, validation, and outlook;Botu;J. Phys. Chem. C,2017