645 citations · 2.1k across the 59 of their papers we have counts for
63 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…
FP-IRL: Fokker--Planck Inverse Reinforcement Learning -- A Physics-Constrained Approach to Markov Decision Processes
Chengyang Huang, Siddhartha Srivastava, Kenneth K. Y. Ho +4
Inverse reinforcement learning (IRL) is a powerful paradigm for uncovering the incentive structure that drives agent behavior, by inferring an unknown reward function from observed…
Ferroelastic toughening: can it solve the mechanics challenges of solid electrolytes?
Anton Van der Ven, Robert M. McMeeking, Raphaële J. Clément +1
The most promising solid electrolytes for all-solid-state Li batteries are oxide and sulfide ceramics. Current ceramic solid electrolytes are brittle and lack the toughness to with…
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…
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…
High Order Schemes for Gradient Flow with Respect to a Metric
Saem Han, Selim Esedoglu, Krishna Garikipati
New criteria for energy stability of multi-step, multi-stage, and mixed schemes are introduced in the context of evolution equations that arise as gradient flow with respect to a m…