MOFReasoner: think like a scientist—a reasoning large language model <i>via</i> knowledge distillation
MOFReasoner is a domain-specific LLM enhanced by chain-of-thought reasoning and knowledge distillation that, when compared to GPT-4.5, shows superior performance in chemical tasks like MOF adsorption prediction.
Authors
- Zhiling Zheng (ORCID: https://orcid.org/0000-0001-6090-2258)
- Xuefeng Bai (ORCID: https://orcid.org/0000-0001-7044-0683)
- Hao-Tian Wang
- Rui Yang
- Jian-Rong Li
- Xin Zhang
Institutions
- Beijing University of Technology (CN)
- Massachusetts Institute of Technology (US)
- Beijing University of Chemical Technology (CN)
Publication Details
- Journal
- Digital Discovery
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1039/d5dd00429b
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China