Automated extraction of chemical synthesis actions from experimental procedures
oleh: Alain C. Vaucher, Federico Zipoli, Joppe Geluykens, Vishnu H. Nair, Philippe Schwaller, Teodoro Laino
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-07-01 |
Deskripsi
Extracting experimental operations for chemical synthesis from procedures reported in prose is a tedious task. Here the authors develop a deep-learning model based on the transformer architecture to translate experimental procedures from the field of organic chemistry into synthesis actions.