George Em Karniadakis
John Brown University(US)Brown University(US)
Publications by Year
Research Areas
Model Reduction and Neural Networks, Fluid Dynamics and Turbulent Flows, Neural Networks and Applications, Fluid Dynamics and Vibration Analysis, Machine Learning in Materials Science
Most-Cited Works
- → Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations(2020)404 cited
- → Spectral element simulations of laminar and turbulent flows in complex geometries(1989)68 cited
- → Uncertainty quantification for noisy inputs–outputs in physics-informed neural networks and neural operators(2024)23 cited
- → NeuroSEM: A hybrid framework for simulating multiphysics problems by coupling PINNs and spectral elements(2024)21 cited
- → Predicting crack nucleation and propagation in brittle materials using Deep Operator Networks with diverse trunk architectures(2025)17 cited
- → Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators(2025)13 cited
- → Physics-Informed machine learning for solar-thermal power systems(2025)13 cited
- → From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning(2024)13 cited
- → State-Space Models are Accurate and Efficient Neural Operators for Dynamical Systems(2024)11 cited
- → A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions(2023)9 cited