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2020 – today
- 2024
[i7]Honghui Du, Binyao Guo, QiZhi He:
Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity. CoRR abs/2407.11183 (2024)- 2023
- [j2]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: 112428 (2023) - [i6]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 abs/2301.11402 (2023) - [i5]Honghui Du, QiZhi He:
Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics. CoRR abs/2311.12915 (2023) - 2022
- [i4]QiZhi He, Yucheng Fu, Panos Stinis, Alexandre M. Tartakovsky:
Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery. CoRR abs/2203.01985 (2022) - [i3]Yifei Zong, QiZhi He, Alexandre M. Tartakovsky:
Physics-Informed Neural Network Method for Parabolic Differential Equations with Sharply Perturbed Initial Conditions. CoRR abs/2208.08635 (2022) - 2021
- [j1]Alexandre M. Tartakovsky, David A. Barajas-Solano, QiZhi He:
Physics-informed machine learning with conditional Karhunen-Loève expansions. J. Comput. Phys. 426: 109904 (2021) - [i2]QiZhi He, Panos Stinis, Alexandre M. Tartakovsky:
Physics-constrained deep neural network method for estimating parameters in a redox flow battery. CoRR abs/2106.11451 (2021)
2010 – 2019
- 2019
- [i1]QiZhi He, David Barajas-Solano, Guzel Tartakovsky, Alexandre M. Tartakovsky:
Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport. CoRR abs/1912.02968 (2019)
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