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ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition

Conventional machine learning approaches for predicting material properties from elemental compositions have emphasized the importance of leveraging domain knowledge when designing model inputs. Here, we demonstrate that by using a deep learning approach, we can bypass such manual feature engineerin...

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Detalles Bibliográficos
Autores principales: Jha, Dipendra, Ward, Logan, Paul, Arindam, Liao, Wei-keng, Choudhary, Alok, Wolverton, Chris, Agrawal, Ankit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6279928/
https://www.ncbi.nlm.nih.gov/pubmed/30514926
http://dx.doi.org/10.1038/s41598-018-35934-y