ChemFM as a Scaling Law Guided Foundation Model Pre-trained on Informative Chemicals
2024 · arXiv (Cornell University) · 3 citations
https://doi.org/10.48550/arxiv.2410.21422
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Feiyang Cai
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Feiyang Cai is an academic researcher from Clemson University. The author has contributed to research in topics: Computational Drug Discovery Methods & Machine Learning in Materials Science & Process Optimization and Integration. The author has an h-index of 1, co-authored 3 publications.
Papers by this author
worksMolLangBench: A Comprehensive Benchmark for Language-Prompted Molecular Structure Recognition, Editing, and Generation
2025 · arXiv (Cornell University) · 1 citations
https://doi.org/10.48550/arxiv.2505.15054
ChemFM as a scaling law guided foundation model pre-trained on informative chemicals
2025 · Communications Chemistry · 1 citations
https://doi.org/10.1038/s42004-025-01793-8
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