81 citations · 171 across the 10 of their papers we have counts for
10 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…
Inference of weak-form partial differential equations describing migration and proliferation mechanisms in wound healing experiments on cancer cells
Patrick C. Kinnunen, Siddhartha Srivastava, Zhenlin Wang +7
Targeting signaling pathways that drive cancer cell migration or proliferation is a common therapeutic approach. A popular experimental technique, the scratch assay, measures the m…
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…
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…
A Perspective on Regression and Bayesian Approaches for System Identification of Pattern Formation Dynamics
Zhenlin Wang, Bowei Wu, Krishna Garikipati +1
We present two approaches to system identification, i.e. the identification of partial differential equations (PDEs) from measurement data. The first is a regression-based Variatio…
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…
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…
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…
Intercalation driven porosity effects in coupled continuum models for the electrical, chemical, thermal and mechanical response of battery electrode materials
Zhenlin Wang, Jason B. Siegel, Krishna Garikipati
We present a coupled continuum formulation for the electrostatic, chemical, thermal and mechanical processes in battery materials. Our treatment applies on the macroscopic scale, a…
A three dimensional field formulation, and isogeometric solutions to point and line defects using Toupin's theory of gradient elasticity at finite strains
Zhenlin Wang, Shiva Rudraraju, Krishna Garikipati
We present a field formulation for defects that draws from the classical representation of the cores as force dipoles. We write these dipoles as singular distributions. Exploiting…