Generic Interpretable Reaction Condition Predictions with Open Reaction Condition Datasets and Unsupervised Learning of Reaction Center
Effective synthesis planning powered by deep learning (DL) can significantly accelerate the discovery of new drugs and materials. However, most DL-assisted synthesis planning methods offer either none or very limited capability to recommend suitable reaction conditions (RCs) for their reaction predi...
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| Автори: | , , , , , , , , , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
American Association for the Advancement of Science (AAAS)
2023-01-01
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| Серія: | Research |
| Онлайн доступ: | https://spj.science.org/doi/10.34133/research.0231 |
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