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aflow++: A C++ framework for autonomous materials design

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Year: 2022
Type: article
Source: Computational Materials Science
DOI: 10.1016/j.commatsci.2022.111889
Authors: Corey Oses, Marco Esters, David Hicks, Simon Divilov, Hagen Eckert, Rico Friedrich, Michael J. Mehl, Andriy Smolyanyuk, Xiomara Campilongo, Axel van de Walle, Jan Schroers, A. Gilad Kusne, Ichiro Takeuchi, Eva Zurek, Marco Buongiorno Nardelli, Marco Fornari, Yoav Lederer, Ohad Levy, Cormac Toher, Stefano Curtarolo
Institutions: Duke University, Helmholtz-Zentrum Dresden-Rossendorf, Technische Universität Dresden, TU Wien, Brown University, Yale University, National Institute of Standards and Technology, University of Maryland, College Park, University at Buffalo, State University of New York, University of North Texas, Santa Fe Institute, Central Michigan University, The University of Texas at Dallas
Language: English

Topic: Machine Learning in Materials Science
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, U.S. Department of Defense, Alexander von Humboldt-Stiftung, Office of Naval Research
OpenAlex ID: W4309735830
FWCI: 2.145
Cites: 185
Cited by: 42
Related to: 10
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