Generative Adversarial Networks for Crystal Structure Prediction

[Image: see text] The constant demand for novel functional materials calls for efficient strategies to accelerate the materials discovery, and crystal structure prediction is one of the most fundamental tasks along that direction. In addressing this challenge, generative models can offer new opportu...

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Detalles Bibliográficos
Autores principales: Kim, Sungwon, Noh, Juhwan, Gu, Geun Ho, Aspuru-Guzik, Alan, Jung, Yousung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453563/
https://www.ncbi.nlm.nih.gov/pubmed/32875082
http://dx.doi.org/10.1021/acscentsci.0c00426

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453563/
https://www.ncbi.nlm.nih.gov/pubmed/32875082
http://dx.doi.org/10.1021/acscentsci.0c00426

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