645 citations · 2.1k across the 59 of their papers we have counts for
4 papers · 1 filter
mechanoChemML: A software library for machine learning in computational materials physics
X. Zhang, G. H. Teichert, Z. Wang +7
We present mechanoChemML, a machine learning software library for computational materials physics. mechanoChemML is designed to function as an interface between platforms that are…
Bayesian neural networks for weak solution of PDEs with uncertainty quantification
Xiaoxuan Zhang, Krishna Garikipati
Solving partial differential equations (PDEs) is the canonical approach for understanding the behavior of physical systems. However, large scale solutions of PDEs using state of th…
Variational system identification of the partial differential equations governing microstructure evolution in materials: Inference over sparse and spatially unrelated data
Z. Wang, X. Huan, K. Garikipati
Pattern formation is a widely observed phenomenon in diverse fields including materials physics, developmental biology and ecology, among many others. The physics underlying the pa…
Machine learning materials physics: Multi-resolution neural networks learn the free energy and nonlinear elastic response of evolving microstructures
Xiaoxuan Zhang, Krishna Garikipati
Many important multi-component crystalline solids undergo mechanochemical spinodal decomposition: a phase transformation in which the compositional redistribution is coupled with s…