This talk focuses on the multi-physics modeling and computation for electrochemical devices, such as supercapacitors and solid-state batteries. For supercapacitors, accurate characterization of entropy plays a pivotal role in capturing reversible and irreversible heating during charging/discharging cycles. First, we will present a non-isothermal electrokinetic model and corresponding entropy increasing numerical methods for the prediction of temperature oscillations observed in experiments. Numerical analysis is performed to theoretically establish the structure-preserving properties that are preserved by the numerical methods. For solid-state batteries, we present a real 2D (R2D) galvanostatic model that encodes physicochemical heterogeneity in a full battery system under realistic working conditions. Simulation results are validated against experimental data with detailed discussions.

周圣高, 上海交通大学教授。研究方向为可计算建模与科学计算, 已在PNAS, PRL, Math. Comput., SIAM系列期刊发表论文60余篇, 主持多项国自然、省部级项目。