Data Sharing in Chemistry: Lessons Learned and a Case for Mandating Structured Reaction Data
The past decade has seen a number of impressive developments in predictive chemistry and reaction informatics driven by machine learning applications to computer-aided synthesis planning. While many of these developments have been made even with relatively small, bespoke data sets, in order to advan...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
American Chemical Society
2025
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| Online Access: | https://hdl.handle.net/1721.1/158183 |