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Pengzhan Jin

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Shallow ReLU neural networks and finite elements

Mar 09, 2024
Pengzhan Jin

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Learning solution operators of PDEs defined on varying domains via MIONet

Feb 23, 2024
Shanshan Xiao, Pengzhan Jin, Yifa Tang

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A hybrid iterative method based on MIONet for PDEs: Theory and numerical examples

Feb 11, 2024
Jun Hu, Pengzhan Jin

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Experimental observation on a low-rank tensor model for eigenvalue problems

Feb 01, 2023
Jun Hu, Pengzhan Jin

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On Numerical Integration in Neural Ordinary Differential Equations

Jun 15, 2022
Aiqing Zhu, Pengzhan Jin, Beibei Zhu, Yifa Tang

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MIONet: Learning multiple-input operators via tensor product

Feb 12, 2022
Pengzhan Jin, Shuai Meng, Lu Lu

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Approximation capabilities of measure-preserving neural networks

Jun 21, 2021
Aiqing Zhu, Pengzhan Jin, Yifa Tang

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Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks

Dec 05, 2020
Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis, George Em Karniadakis

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Symplectic networks: Intrinsic structure-preserving networks for identifying Hamiltonian systems

Jan 11, 2020
Pengzhan Jin, Aiqing Zhu, George Em Karniadakis, Yifa Tang

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DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

Oct 08, 2019
Lu Lu, Pengzhan Jin, George Em Karniadakis

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