Automated patent extraction powers generative modeling in focused chemical spaces
Deep generative models have emerged as an exciting avenue for inverse molecular design, with progress coming from the interplay between training algorithms and molecular representations. One of the key challenges in their applicability to materials science and chemistry has been the lack of access t...
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Royal Society of Chemistry
2024
|
| Online Access: | https://hdl.handle.net/1721.1/156922 |