Multimodal learning in synthetic chemistry applications: gas chromatography retention time prediction and isomer separation optimization
A novel multimodal model for predicting gas chromatography retention time, capable of rapidly recommending temperature programs for isomer separation.
Authors
- Jinglong Lin
- C M Liu
- Fanyang Mo (ORCID: https://orcid.org/0000-0002-4140-3020)
- Shufeng Chen (ORCID: https://orcid.org/0000-0002-7021-2581)
- Yuntian Chen (ORCID: https://orcid.org/0000-0003-4566-8197)
- Lili Song (ORCID: https://orcid.org/0000-0002-3641-4630)
Institutions
- Peking University (CN)
- Inner Mongolia University (CN)
- Zhejiang Business Technology Institute (CN)
- Ningbo Institute of Industrial Technology (CN)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d4dd00369a
- Citations
- 2
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- National Natural Science Foundation of China