Leveraging Machine Learning for Enantioselective Catalysis: From Dream to Reality
Catalyst optimization for enantioselective transformations has traditionally relied on empirical evaluation of catalyst properties. Although this approach has been successful in the past it is intrinsically limited and inefficient. To address this problem, our laboratory has developed a fully inform...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | deu |
| Published: |
Swiss Chemical Society
2021-08-01
|
| Series: | CHIMIA |
| Subjects: | |
| Online Access: | https://www.ingentaconnect.com/contentone/scs/chimia/2021/00000075/f0020007/art00002 |