
Dylan M. Anstine
استادیار · Machine learned interatomic potentials
Michigan State Universityمعرفی
Dylan M. Anstine serves as an Assistant Professor in the Department of Chemical Engineering and Materials Science within Michigan State University's College of Engineering, maintaining his research office in the Engineering Building at 428 S Shaw Ln, Room 1248.
His academic credentials include:
- Ph.D. in Materials Science and Engineering from the University of Florida (2021)
Dr. Anstine's research program integrates artificial intelligence with chemical engineering to pioneer computational methods for molecular modeling and materials discovery. His work specifically targets machine learned interatomic potentials, high-throughput modeling of chemical reactions, and the development of advanced microporous polymers for separation science applications, aiming to accelerate innovation in sustainable chemical processes.
Analysis of his 2025 publications reveals a consistent theme of AI-driven solutions for complex chemical challenges, spanning reaction pathway prediction at unprecedented scales, reinforcement learning for printable polymer design, and transferable machine learning potentials for catalytic systems. These works demonstrate strong interdisciplinary convergence between computational chemistry, materials informatics, and artificial intelligence.
Information regarding student mentorship, grant funding, or scientific awards was not documented in the provided source material.
Dr. Anstine leads an active research group focused on computational chemistry and AI-enhanced materials discovery, as evidenced by his dedicated research website and Google Scholar profile, though specific laboratory names or team structures were not disclosed.
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