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Deep learning workflow for the inverse design of molecules with specific optoelectronic properties
The inverse design of novel molecules with a desirable optoelectronic property requires consideration of the vast chemical spaces associated with varying chemical composition and molecular size. First principles-based property predictions have become increasingly helpful for assisting the selection...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654498/ https://www.ncbi.nlm.nih.gov/pubmed/37973879 http://dx.doi.org/10.1038/s41598-023-45385-9 |