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Formula Graph Self‐Attention Network for Representation‐Domain Independent Materials Discovery

The success of machine learning (ML) in materials property prediction depends heavily on how the materials are represented for learning. Two dominant families of material descriptors exist, one that encodes crystal structure in the representation and the other that only uses stoichiometric informati...

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Detalles Bibliográficos
Autores principales: Ihalage, Achintha, Hao, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218748/
https://www.ncbi.nlm.nih.gov/pubmed/35475548
http://dx.doi.org/10.1002/advs.202200164

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