329 citations · 1.7k across the 32 of their papers we have counts for
4 papers · 1 filter
Inferring electrochemical performance and parameters of Li-ion batteries based on deep operator networks
Qiang Zheng, Xiaoguang Yin, Dongxiao Zhang
The Li-ion battery is a complex physicochemical system that generally takes applied current as input and terminal voltage as output. The mappings from current to voltage can be des…
Identification of Physical Processes and Unknown Parameters of 3D Groundwater Contaminant Problems via Theory-guided U-net
Tianhao He, Haibin Chang, Dongxiao Zhang
Identification of unknown physical processes and parameters of groundwater contaminant sources is a challenging task due to their ill-posed and non-unique nature. Numerous works ha…
Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data
Junsheng Zeng, Hao Xu, Yuntian Chen +1
Although deep-learning has been successfully applied in a variety of science and engineering problems owing to its strong high-dimensional nonlinear mapping capability, it is of li…
Deep-learning of Parametric Partial Differential Equations from Sparse and Noisy Data
Hao Xu, Dongxiao Zhang, Junsheng Zeng
Data-driven methods have recently made great progress in the discovery of partial differential equations (PDEs) from spatial-temporal data. However, several challenges remain to be…