AZ
Aiqing Zhu
cs.NAmath.NAcs.LGDynamical systemsmath.DSNeural Networks, Computerphysics.comp-phApproximation theoryComputer SimulationDeep learning
On Valency
published · living versionsW_scdqmg58·v1 · currentpublished
Hidden Phase Transition in Single-Polymer Stretching under Elongational Flow
with Fushuai Wang, Eleonore Vissol-Gaudin, Qianxiao Li, Beatrice W. Soh
1 version
W_jmwfd69p·v1published
Preprints & journals
21 papers in the corpus · 2019–2026Entropy Production for Stationary Diffusions on Hilbert Spaces2610.08614v1 · Zhuoyuan Li, Yue Zhao, Aiqing Zhu2026 · 0 citationsarXiv
Learning Operators of Geometry with an Interface Autoencoder2609.29437v2 · Aiqing Zhu, Pengzhan Jin2026 · 0 citationsarXiv
Identifiable learning of dissipative dynamics.42693090 · Zhu, Aiqing, Soh, Beatrice W, Pavliotis, Grigorios A et al.2026 · 1 citationNature communications. 2026;17(1)
Learning symplectic model reduction based on an approximation theorem of symplectic embeddings2606.04623v2 · Liyi Feng, Yifa Tang, Yulin Xie et al.2026 · 0 citationsarXiv
Hypothesis-driven construction of mesoscopic dynamics2605.16211v1 · Zhuoyuan Li, Aiqing Zhu, Qianxiao Li2026 · 0 citationsarXiv
Calculating Domain of Attraction Boundary of Power Systems Based on the Gentlest Ascent Dynamics2605.04197v2 · Sixu Wu, Chenmin Zhang, Aiqing Zhu et al.2026 · 0 citationsarXiv
DynGMA: a robust approach for learning stochastic differential equations from data2402.14475v2 · Aiqing Zhu, Qianxiao Li2024 · 6 citationsarXiv
Solving parametric elliptic interface problems via interfaced operator network2308.14537v2 · Sidi Wu, Aiqing Zhu, Yifa Tang et al.2023 · 15 citationsarXiv
Effective Numerical Simulations of Synchronous Generator System2304.10882v1 · Jiawei Zhang, Aiqing Zhu, Feng Ji et al.2023 · 2 citationsarXiv
Implementation and (Inverse Modified) Error Analysis for implicitly-templated ODE-nets2303.17824v2 · Aiqing Zhu, Tom Bertalan, Beibei Zhu et al.2023 · 3 citationsarXiv
Error analysis based on inverse modified differential equations for discovery of dynamics using linear multistep methods and deep learning2209.12123v2 · Aiqing Zhu, Sidi Wu, Yifa Tang2022 · 3 citationsarXiv
Explicit K-symplectic methods for nonseparable non-canonical Hamiltonian systems2208.03875v1 · Beibei Zhu, Lun Ji, Aiqing Zhu et al.2022 · 6 citationsarXiv
On Numerical Integration in Neural Ordinary Differential Equations2206.07335v1 · Aiqing Zhu, Pengzhan Jin, Beibei Zhu et al.2022 · 19 citationsarXiv
Poisson Integrators based on splitting method for Poisson systems2205.05281v1 · Beibei Zhu, Lun Ji, Aiqing Zhu et al.2022 · 3 citationsarXiv
VPNets: Volume-preserving neural networks for learning source-free dynamics2204.13843v2 · Aiqing Zhu, Beibei Zhu, Jiawei Zhang et al.2022 · 8 citationsarXiv
Convergence of physics-informed neural networks applied to linear second-order elliptic interface problems2203.03407v3 · Sidi Wu, Aiqing Zhu, Yifa Tang et al.2022 · 30 citationsarXiv
Approximation capabilities of measure-preserving neural networks.34995951 · Zhu, Aiqing, Jin, Pengzhan, Tang, Yifa2022 · 10 citationsNeural networks : the official journal of the International Neural Network Society. 2022;147:72-80
Inverse modified differential equations for discovery of dynamics2009.01058v4 · Aiqing Zhu, Pengzhan Jin, Beibei Zhu et al.2020 · 6 citationsarXiv
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems.32890788 · Jin, Pengzhan, Zhang, Zhen, Zhu, Aiqing et al.2021 · 183 citationsNeural networks : the official journal of the International Neural Network Society. 2020;132:166-179
Deep Hamiltonian networks based on symplectic integrators2004.13830v1 · Aiqing Zhu, Pengzhan Jin, Yifa Tang2020 · 16 citationsarXiv
Unit triangular factorization of the matrix symplectic group1912.10926v2 · Pengzhan Jin, Yifa Tang, Aiqing Zhu2019 · 13 citationsarXiv
Career total: 37 works. 21 are in this corpus.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.