Zhen Zhang

According to our database, Zhen Zhang authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning Poisson Systems and Trajectories of Autonomous Systems via Poisson Neural Networks.

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

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression.

Zhen Zhang, Zongren Zou, Ellen Kuhl, George Em Karniadakis

CoRR, 2023

2022

SympOCnet: Solving Optimal Control Problems with Applications to High-Dimensional Multiagent Path Planning Problems.

Tingwei Meng, Zhen Zhang, Jérôme Darbon, George E. Karniadakis

SIAM J. Sci. Comput., 2022

Systems Biology: Identifiability analysis and parameter identification via systems-biology informed neural networks.

Mitchell Daneker, Zhen Zhang, George Em Karniadakis, Lu Lu

CoRR, 2022

SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems.

Tingwei Meng, Zhen Zhang, Jérôme Darbon, George Em Karniadakis

CoRR, 2022

2021

An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City.

Sheng Zhang, Joan Ponce, Zhen Zhang, Guang Lin, George E. Karniadakis

PLoS Comput. Biol., 2021

Identifiability and predictability of integer- and fractional-order epidemiological models using physics-informed neural networks.

Ehsan Kharazmi, Min Cai, Xiaoning Zheng, Zhen Zhang, Guang Lin, George Em Karniadakis

Nat. Comput. Sci., 2021

GFINNs: GENERIC Formalism Informed Neural Networks for Deterministic and Stochastic Dynamical Systems.

Zhen Zhang, Yeonjong Shin, George Em Karniadakis

CoRR, 2021

2020

SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems.

Pengzhan Jin, Zhen Zhang, Aiqing Zhu, Yifa Tang, George Em Karniadakis

Neural Networks, 2020