Machine learning unifies the modeling of materials and molecules
Top Cited Papers
Open Access
- 1 December 2017
- journal article
- research article
- Published by American Association for the Advancement of Science (AAAS) in Science Advances
- Vol. 3 (12), e1701816
- https://doi.org/10.1126/sciadv.1701816
Abstract
Statistical learning based on a local representation of atomic structures provides a universal model of chemical stability.Keywords
Funding Information
- Office of Naval Research (award361580, U.S. Naval Research Laboratory, core basic research program)
- Engineering and Physical Sciences Research Council (award324327, EP/L014742/1, EP/J010847/1 and EP/J022012/1)
- Engineering and Physical Sciences Research Council (award324329, EP/L014742/1, EP/P002188/1)
- Engineering and Physical Sciences Research Council (award361574, EP/M022501/1)
- Engineering and Physical Sciences Research Council (award361582, EP/K013564/1, EP/P022561/1)
- Swiss National Science Foundation (award324328, NCCR MARVEL)
- Leverhulme Trust (award361572, Leverhulme Early Career Fellowship)
- Isaac Newton Trust (award361573)
- European Research Council (award324326, 677013-HBMAP)
- European Research Council (award324330, 67658 - NOMAD)
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