Deep Learning of Vortex Induced Vibrations. - Maziar Raissi; Zhicheng Wang 018; Michael S. Triantafyllou; George E. Karniadakis (CoRR, 2018)

A stabilized phase-field method for two-phase flow at high Reynolds number and large density/viscosity ratio. - Zhicheng Wang 018; Suchuan Dong; Michael S. Triantafyllou; Yiannis Constantinides; George Em Karniadakis (J. Comput. Phys., 2019)

Physics-informed neural networks (PINNs) for fluid mechanics: A review. - Shengze Cai; Zhiping Mao; Zhicheng Wang 018; Minglang Yin; George Em Karniadakis (CoRR, 2021)

DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks. - Shengze Cai; Zhicheng Wang 018; Lu Lu 010; Tamer A. Zaki; George Em Karniadakis (J. Comput. Phys., 2021)

A phase-field method for boiling heat transfer. - Zhicheng Wang 018; Xiaoning Zheng; Chryssostomos Chryssostomidis; George Em Karniadakis (J. Comput. Phys., 2021)

Active- and transfer-learning applied to microscale-macroscale coupling to simulate viscoelastic flows. - Lifei Zhao; Zhen Li 003; Zhicheng Wang 018; Bruce Caswell; Jie Ouyang; George Em Karniadakis (J. Comput. Phys., 2021)

Operator Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations Characterized by Sharp Solutions. - Bin Lin; Zhiping Mao; Zhicheng Wang 018; George Em Karniadakis (CoRR, 2023)

A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks. - Khemraj Shukla; Juan Diego Toscano; Zhicheng Wang 018; Zongren Zou; George Em Karniadakis (CoRR, 2024)

NeuroSEM: A hybrid framework for simulating multiphysics problems by coupling PINNs and spectral elements. - Khemraj Shukla; Zongren Zou; Chi Hin Chan; Additi Pandey; Zhicheng Wang 018; George Em Karniadakis (CoRR, 2024)

Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble. - Zongren Zou; Zhicheng Wang 018; George Em Karniadakis (CoRR, 2025)

Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction. - Vivek Oommen; Siavash Khodakarami; Aniruddha Bora; Zhicheng Wang 018; George Em Karniadakis (CoRR, 2025)