645 citations · 2.1k across the 59 of their papers we have counts for
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physics.comp-ph2018★ 81 cited
Variational system identification of the partial differential equations governing pattern-forming physics: Inference under varying fidelity and noise
Zhenlin Wang, Xun Huan, Krishna Garikipati
We present a contribution to the field of system identification of partial differential equations (PDEs), with emphasis on discerning between competing mathematical models of patte…
physics.comp-ph2018★ 89 cited
Machine learning materials physics: Surrogate optimization and multi-fidelity algorithms predict precipitate morphology in an alternative to phase field dynamics
Gregory Teichert, Krishna Garikipati
Machine learning has been effective at detecting patterns and predicting the response of systems that behave free of natural laws. Examples include learning crowd dynamics, recomme…
physics.comp-ph2018
A multi-physics battery model with particle scale resolution of porosity evolution driven by intercalation strain and electrolyte flow
Zhenlin Wang, Krishna Garikipati
We present a coupled continuum formulation for the electrostatic, chemical, thermal, mechanical and fluid physics in battery materials. Our treatment is at the particle scale, at w…