Rethinking Retrosynthesis: Curriculum Learning Reshapes Transformer-Based Small-Molecule Reaction Prediction.
Saved in:
| Title: | Rethinking Retrosynthesis: Curriculum Learning Reshapes Transformer-Based Small-Molecule Reaction Prediction. |
|---|---|
| Authors: | Sheshanarayana R; College of Engineering, Cornell University, Ithaca, New York 14853, United States., You F; College of Engineering, Cornell University, Ithaca, New York 14853, United States.; Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States.; Cornell University AI for Science Institute, Cornell University, Ithaca, New York 14853, United States.; Cornell AI for Sustainability Initiative (CAISI), Cornell University, Ithaca, New York 14853, United States. |
| Source: | Journal of chemical information and modeling [J Chem Inf Model] 2025 Oct 27; Vol. 65 (20), pp. 11047-11063. Date of Electronic Publication: 2025 Sep 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
