79 citations · 117 across the 7 of their papers we have counts for
8 papers
A treatment of particle-electrolyte sharp interface fracture in solid-state batteries with multi-field discontinuities
Xiaoxuan Zhang, Tryaksh Gupta, Zhenlin Wang +3
In this work, we present a computational framework for coupled electro-chemo-(nonlinear) mechanics at the particle scale for solid-state batteries. The framework accounts for inter…
Label-free learning of elliptic partial differential equation solvers with generalizability across boundary value problems
Xiaoxuan Zhang, Krishna Garikipati
Traditional, numerical discretization-based solvers of partial differential equations (PDEs) are fundamentally agnostic to domains, boundary conditions and coefficients. In contras…
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference
Wyatt Bridgman, Xiaoxuan Zhang, Greg Teichert +3
In this work we employ an encoder-decoder convolutional neural network to predict the failure locations of porous metal tension specimens based only on their initial porosities. Th…
System inference via field inversion for the spatio-temporal progression of infectious diseases: Studies of COVID-19 in Michigan and Mexico
Zhenlin Wang, Mariana Carrasco Teja, Xiaoxuan Zhang +2
We present an approach to studying and predicting the spatio-temporal progression of infectious diseases. We treat the problem by adopting a partial differential equation (PDE) ver…
Biomembranes undergo complex, non-axisymmetric deformations governed by Kirchhoff-Love kinematics and revealed by a three dimensional computational framework
Debabrata Auddya, Xiaoxuan Zhang, Rahul Gulati +4
Biomembranes play a central role in various phenomena like locomotion of cells, cell-cell interactions, packaging of nutrients, and in maintaining organelle morphology and function…
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…
System inference for the spatio-temporal evolution of infectious diseases: Michigan in the time of COVID-19
Zhenlin Wang, Xiaoxuan Zhang, Gregory Teichert +2
We extend the classical SIR model of infectious disease spread to account for time dependence in the parameters, which also include diffusivities. The temporal dependence accounts…
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…