Abhinav Jain is a computational materials scientist currently working at ASML. With over 10 years of experience, they specialize in atomistic models, first principles calculations, and machine learning interatomic potentials to analyze materials behavior across various length scales. Abhinav earned a PhD in Computational Materials Science from the University of Illinois at Urbana-Champaign, where they also served as a Research Assistant, developing models for solute transport in Zircaloys. Prior to this, they were a Postdoctoral Researcher at École polytechnique fédérale de Lausanne, where they advanced machine learning potentials for aluminum alloys. Abhinav's educational background includes a Master of Technology in Metallurgical Engineering from the Institute of Technology, BHU.
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