Identifying models of dielectric breakdown strength from high-throughput data via genetic programming

Abstract The identification of models capable of rapidly predicting material properties enables rapid screening of large numbers of materials and facilitates the design of new materials. One of the leading challenges for computational researchers is determining the best ways to analyze large materia...

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Autores principales: Fenglin Yuan, Tim Mueller
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/22132188e8d84c629304643fd524eb34
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