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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2020
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| 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 |