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20152023
most citedSurrogate Modeling for Fluid Flows Based on Physics-Constrained Deep Learning Without Simulation Data

1.1k citations · 5.1k across the 37 of their papers we have counts for

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math.NA2020★ 20 cited

A Bi-fidelity Ensemble Kalman Method for PDE-Constrained Inverse Problems

Han Gao, Jian-Xun Wang

Mathematical modeling and simulation of complex physical systems based on partial differential equations (PDEs) have been widely used in engineering and industrial applications. To…

math.NA2019★ 44 cited

Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning

Han Gao, Jian-Xun Wang, Matthew J. Zahr

Projection-based model reduction has become a popular approach to reduce the cost associated with integrating large-scale dynamical systems so they can be used in many-query settin…