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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...
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| Pubblicato in: | ACS Cent Sci |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Chemical Society
2020
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| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7453563/ https://ncbi.nlm.nih.gov/pubmed/32875082 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acscentsci.0c00426 |
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