Anoushka Bhutani

Anoushka Bhutani is a PhD candidate in mechanical engineering and scientific computing at the University of Michigan, working at the intersection of chemistry and machine learning. During her internship with the Solutions Architecture Higher Education and Research team, she investigated the acceleration of atomistic machine learning models using Tensor Core floating-point methods.
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Posts by Anoushka Bhutani

Simulation / Modeling / Design

Unlocking Tensor Core Performance for Machine Learning Interatomic Potentials

Atomistic simulations help researchers understand how molecules and materials behave, from chemical reactions and phase transitions to mechanical failure. These... 13 MIN READ