| 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 | 303 | 2020 |
| 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 | 158 | 2021 |
| 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 | 91 | 2021 |
| 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 | 86 | 2022 |
| 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 | 80 | 2023 |
| 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 | 70 | 2024 |
| 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 | 47 | 2021 |
| 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 | 26 | 2022 |
| Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks Y Qian, G Zhu, Z Zhang, S Modepalli, Y Zheng, X Zheng, G Frydman, H Li Neural Networks 180, 106732, 2024 | 9 | 2024 |
| SympGNNs: Symplectic Graph Neural Networks for identifying high-dimensional Hamiltonian systems and node classification AJ Varghese, Z Zhang, GE Karniadakis Neural Networks 187, 107397, 2025 | 5 | 2025 |
| Equilibrium Conserving Neural Operators for Super-Resolution Learning V Oommen, AE Robertson, D Diaz, C Alleman, Z Zhang, AD Rollett, ... arXiv preprint arXiv:2504.13422, 2025 | 2 | 2025 |
| A Time-Dependent Symplectic Network for Nonconvex Path Planning Problems with Linear and Nonlinear Dynamics Z Zhang, C Wang, S Liu, J Darbon, GE Karniadakis SIAM Journal on Scientific Computing 47 (4), C769-C794, 2025 | | 2025 |
George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and EngineeringVerified email at brown.edu
