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Zhen Zhang
Zhen Zhang
Division of Applied Mathematics, Brown University
在 brown.edu 的电子邮件经过验证 - 首页
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SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems
P Jin*, Z Zhang*, A Zhu, Y Tang, GE Karniadakis
Neural Networks 132, 166-179, 2020
1792020
Identifiability and predictability of integer-and fractional-order epidemiological models using physics-informed neural networks
E Kharazmi, M Cai, X Zheng, Z Zhang, G Lin, GE Karniadakis
Nature Computational Science, 1-10, 2021
652021
GFINNs: GENERIC formalism informed neural networks for deterministic and stochastic dynamical systems
Z Zhang, Y Shin, GE Karniadakis
Philosophical Transactions of the Royal Society A, 2021
492021
Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks
P Jin, Z Zhang, IG Kevrekidis, GE Karniadakis
IEEE Transactions on Neural Networks and Learning Systems, 2022
412022
Systems biology: Identifiability analysis and parameter identification via systems-biology-informed neural networks
M Daneker, Z Zhang, GE Karniadakis, L Lu
Computational Modeling of Signaling Networks, 87-105, 2023
352023
An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City
S Zhang*, J Ponce*, Z Zhang*, G Lin, GE Karniadakis
PLOS Computational Biology 17 (9), 2021
282021
Discovering a reaction–diffusion model for Alzheimer’s disease by combining PINNs with symbolic regression
Z Zhang, Z Zou, E Kuhl, GE Karniadakis
Computer Methods in Applied Mechanics and Engineering 419, 116647, 2024
162024
SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems
T Meng*, Z Zhang*, J Darbon, GE Karniadakis
arXiv preprint arXiv:2201.05475, 2022
112022
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