QiZhi He

According to our database, QiZhi He authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity.

Honghui Du, Binyao Guo, QiZhi He

CoRR, 2024

2023

A hybrid deep neural operator/finite element method for ice-sheet modeling.

QiZhi He, Mauro Perego, Amanda A. Howard, George Em Karniadakis, Panos Stinis

J. Comput. Phys., November, 2023

Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics.

Honghui Du, QiZhi He

CoRR, 2023

2022

Physics-Informed Neural Network Method for Parabolic Differential Equations with Sharply Perturbed Initial Conditions.

Yifei Zong, QiZhi He, Alexandre M. Tartakovsky

CoRR, 2022

Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery.

QiZhi He, Yucheng Fu, Panos Stinis, Alexandre M. Tartakovsky

CoRR, 2022

2021

Physics-informed machine learning with conditional Karhunen-Loève expansions.

Alexandre M. Tartakovsky, David A. Barajas-Solano, QiZhi He

J. Comput. Phys., 2021

Physics-constrained deep neural network method for estimating parameters in a redox flow battery.

QiZhi He, Panos Stinis, Alexandre M. Tartakovsky

CoRR, 2021

2019

Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport.

QiZhi He, David Barajas-Solano, Guzel Tartakovsky, Alexandre M. Tartakovsky

CoRR, 2019