QiZhi He

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Initial Conditions

Top Venues

J. Comput. Phys.

Publications

Honghui Du, Binyao Guo, QiZhi He
Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity. CoRR (2024)
Honghui Du, QiZhi He
Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics. CoRR (2023)
QiZhi He, Mauro Perego, Amanda A. Howard, George Em Karniadakis, Panos Stinis
A hybrid deep neural operator/finite element method for ice-sheet modeling. J. Comput. Phys. 492 (2023)
QiZhi He, Mauro Perego, Amanda A. Howard, George Em Karniadakis, Panos Stinis
A Hybrid Deep Neural Operator/Finite Element Method for Ice-Sheet Modeling. CoRR (2023)
QiZhi He, Yucheng Fu, Panos Stinis, Alexandre M. Tartakovsky
Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery. CoRR (2022)
Yifei Zong, QiZhi He, Alexandre M. Tartakovsky
Physics-Informed Neural Network Method for Parabolic Differential Equations with Sharply Perturbed Initial Conditions. CoRR (2022)
QiZhi He, Panos Stinis, Alexandre M. Tartakovsky
Physics-constrained deep neural network method for estimating parameters in a redox flow battery. CoRR (2021)
Alexandre M. Tartakovsky, David A. Barajas-Solano, QiZhi He
Physics-informed machine learning with conditional Karhunen-Loève expansions. J. Comput. Phys. 426 (2021)
QiZhi He, David Barajas-Solano, Guzel Tartakovsky, Alexandre M. Tartakovsky
Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport. CoRR (2019)