Seyed Mohamad Moosavi

1. Evaluating Large Language Models in Scientific Discovery
   2025/12/17 by Zhangde Song, Jieyu Lu, Song, Zhangde +109 · 18 voices · 2 citations
   Materials Science · Medicine · Social Sciences · #Machine Learning in Materials Science #Artificial Intelligence in Healthcare and Education #Computational and Text Analysis Methods
2. Understanding the diversity of the metal-organic framework ecosystem
   2020/08/13 by Seyed Mohamad Moosavi, Aditya Nandy, Kevin Maik Jablonka +6 · 7 citations
   Chemistry · Materials Science · #Machine Learning in Materials Science #Metal-Organic Frameworks: Synthesis and Applications #X-ray Diffraction in Crystallography
3. Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
   2024/11/20 by Yoel Zimmermann, Adib Bazgir, Zimmermann, Yoel +298 · 3 voices · 6 citations
   Engineering · #Biomedical and Engineering Education
4. 34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery
   2025/05/05 by Yoel Zimmermann, Adib Bazgir, Zimmermann, Yoel +74 · 2 voices · 1 citation
   Materials Science · Medicine · Engineering · #Machine Learning in Materials Science #Artificial Intelligence in Healthcare and Education #Biomedical and Engineering Education
5. Agent-based Learning of Materials Datasets from Scientific Literature
   2023/12/18 by Mehrad Ansari, Ansari, Mehrad, Seyed Mohamad Moosavi +1 · 5 citations
   Chemical Engineering · Materials Science · #Artificial Intelligence (cs.AI) #Catalysis and Oxidation Reactions #FOS: Computer and information sciences #Machine Learning in Materials Science
6. CoRE MOF DB: A curated experimental metal-organic framework database with machine-learned properties for integrated material-process screening
   2025/05/05 by Guobin Zhao, Logan M. Brabson, Saumil Chheda +23 · 1 voice · 8 citations
   Chemistry · Materials Science · #Metal-Organic Frameworks: Synthesis and Applications #Machine Learning in Materials Science #X-ray Diffraction in Crystallography
7. MOFSimBench: Evaluating Universal Machine Learning Interatomic Potentials In Metal--Organic Framework Molecular Modeling
   2025/07/16 by Hendrik Kraß, Ju Huang, Kraß, Hendrik +3 · 10 citations
   Materials Science · Chemistry · #Machine Learning in Materials Science #Metal-Organic Frameworks: Synthesis and Applications #X-ray Diffraction in Crystallography
8. CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction
   2025/06/13 by Ella Miray Rajaonson, Rajaonson, Ella Miray, Mahyar Rajabi Kochi +7 · 1 citation
   Chemistry · Computer Science · Materials Science · #Analytical Chemistry and Chromatography #Computational Drug Discovery Methods #Crystallization and Solubility Studies #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. A Multimodal Semi-Supervised Learning Framework for Pharmaceutical Cocrystals Prediction
   2026/07/26 by Mohammad Amin Ghanavati, Seyed Mohamad Moosavi, Sohrab Rohani · 1 voice
   Chemistry · Materials Science · Computer Science · #Crystallography and molecular interactions #Machine Learning in Materials Science #Computational Drug Discovery Methods