Direct Prediction of Phonon Density of States With Euclidean Neural Networks

Machine learning has demonstrated great power in materials design, discovery, and property prediction. However, despite the success of machine learning in predicting discrete properties, challenges remain for continuous property prediction. The challenge is aggravated in crystalline solids due to cr...

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Detalles Bibliográficos
Publicado en:Adv Sci (Weinh)
Autores principales: Chen, Zhantao, Andrejevic, Nina, Smidt, Tess, Ding, Zhiwei, Xu, Qian, Chi, Yen‐Ting, Nguyen, Quynh T., Alatas, Ahmet, Kong, Jing, Li, Mingda
Formato: Artigo
Lenguaje:Inglês
Publicado: John Wiley and Sons Inc. 2021
Materias:
Communications
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC8224435/
https://ncbi.nlm.nih.gov/pubmed/34165895
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/advs.202004214
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