Machine learning for chemical discovery
Discovering chemicals with desired attributes is a long and painstaking process. Curated datasets containing reliable quantum-mechanical properties for millions of molecules are becoming increasingly available. The development of novel machine learning tools to obtain chemical knowledge from these d...
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| Format: | article |
| Language: | EN |
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Nature Portfolio
2020
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| Subjects: | |
| Online Access: | https://doaj.org/article/316c9b03a1074f64b5fbab43c739f1f8 |
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