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Yuan Chiang

  1. A foundation model for atomistic materials chemistry
    2023/12/29 by Ilyes Batatia, Batatia, Ilyes, Philipp Benner +182 · 5 voices · 175 citations
    Materials Science · Decision Sciences · #physics.chem-ph #cond-mat.mtrl-sci
  2. Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
    2024/11/20 by Yoel Zimmermann, Zimmermann, Yoel, Adib Bazgir +298 · 3 voices · 7 citations
    Engineering · #Biomedical and Engineering Education
  3. LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation
    2024/01/30 by Yuan Chiang, Chiang, Yuan, Hsieh, Elvis +4 · 11 citations
    Materials Science · #Machine Learning in Materials Science #Electron and X-Ray Spectroscopy Techniques #X-ray Diffraction in Crystallography
  4. Atomate2: modular workflows for materials science
    2025/01/01 by Alex M. Ganose, Hrushikesh Sahasrabuddhe, Mark Asta +53 · 2 voices · 11 citations
    Chemical Engineering · Decision Sciences · Materials Science · #Catalysis and Oxidation Reactions #Machine Learning in Materials Science #Scientific Computing and Data Management
  5. 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 · 2 citations
    Materials Science · Medicine · Engineering · #Machine Learning in Materials Science #Artificial Intelligence in Healthcare and Education #Biomedical and Engineering Education
  6. MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform
    2025/09/25 by Yuan Chiang, Tobias Kreiman, Chiang, Yuan +25 · 8 citations
    Computer Science · Medicine · Social Sciences · #Artificial Intelligence in Healthcare and Education #Chemical Physics (physics.chem-ph) #Computational Engineering #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Materials Science (cond-mat.mtrl-sci) #and Science (cs.CE)
  7. Atomate2: Modular workflows for materials science
    2025/01/22 by Alex M. Ganose, Hrushikesh Sahasrabuddhe, Mark Asta +51 · 1 voice · 2 citations
    Materials Science · #Machine Learning in Materials Science