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A multi-fidelity machine learning approach to high throughput materials screening

Abstract The ever-increasing capability of computational methods has resulted in their general acceptance as a key part of the materials design process. Traditionally this has been achieved using a so-called computational funnel, where increasingly accurate - and expensive – methodologies are used t...

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Autors principals: Clyde Fare, Peter Fenner, Matthew Benatan, Alessandro Varsi, Edward O. Pyzer-Knapp
Format: Artigo
Idioma:Inglês
Publicat: Nature Portfolio 2022-12-01
Col·lecció:npj Computational Materials
Accés en línia:https://doi.org/10.1038/s41524-022-00947-9
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