Abstract
Machine learning (ML) is transforming all areas of science. The complex and time-consuming calculations in molecular simulations are particularly suitable for an ML revolution and have already been profoundly affected by the application of existing ML ...Read More
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Publication Info
- Year
- 1984
- Type
- article
- Volume
- 35
- Issue
- 1
- Pages
- 437-480
- Citations
- 935
- Access
- Closed
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Identifiers
- DOI
- 10.1146/annurev.pc.35.100184.002253