Multi-target digital material design via a conditional denoising diffusion probability model
Abstract Multi-target digital material design has been challenging due to the expansive design space and instability of traditional methods in satisfying multiple objectives. This work proposes and demonstrates a customizer based on a classifier-free, conditional denoising diffusion probability mode...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2025-08-01
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| coleção: | npj Computational Materials |
| Acesso em linha: | https://doi.org/10.1038/s41524-025-01759-3 |
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