Zhen Zhang

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Solving Nonlinear

Parameter Identification

Optimal Control Problems

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Nat. Comput. Sci.

PLoS Comput. Biol.

Publications

Zhen Zhang, Zongren Zou, Ellen Kuhl, George Em Karniadakis
Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression. CoRR (2023)
Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis, George Em Karniadakis
Learning Poisson Systems and Trajectories of Autonomous Systems via Poisson Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Mitchell Daneker, Zhen Zhang, George Em Karniadakis, Lu Lu
Systems Biology: Identifiability analysis and parameter identification via systems-biology informed neural networks. CoRR (2022)
Tingwei Meng, Zhen Zhang, Jérôme Darbon, George Em Karniadakis
SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems. CoRR (2022)
Tingwei Meng, Zhen Zhang, Jérôme Darbon, George E. Karniadakis
SympOCnet: Solving Optimal Control Problems with Applications to High-Dimensional Multiagent Path Planning Problems. SIAM J. Sci. Comput. 44 (6) (2022)
Zhen Zhang, Yeonjong Shin, George Em Karniadakis
GFINNs: GENERIC Formalism Informed Neural Networks for Deterministic and Stochastic Dynamical Systems. CoRR (2021)
Sheng Zhang, Joan Ponce, Zhen Zhang, Guang Lin, George E. Karniadakis
An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City. PLoS Comput. Biol. 17 (9) (2021)
Ehsan Kharazmi, Min Cai, Xiaoning Zheng, Zhen Zhang, Guang Lin, George Em Karniadakis
Identifiability and predictability of integer- and fractional-order epidemiological models using physics-informed neural networks. Nat. Comput. Sci. 1 (11) (2021)
Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis, George Em Karniadakis
Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks. CoRR (2020)
Pengzhan Jin, Zhen Zhang, Aiqing Zhu, Yifa Tang, George Em Karniadakis
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems. Neural Networks 132 (2020)