George Em Karniadakis

Author

Brown University

Also Known As

George Em Karniadakis, George Em Karniadakis, Karniadakis, George EM, Karniadakis, George Em, Li, Zhen

Publications

621

Citations

H-Index

Concepts

All Affiliations

Brown University

About

George Em Karniadakis is an author at Brown University specializing in physics, engineering, and computational mechanics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	486
2	Natural Sciences	1	1	17
3	Social Sciences	1	1	17
4	Computer Science	1	1	396
5	Data Science	1	1	396

George Em Karniadakis

Publications

562

Citations

H-Index

Page 1

	Year	Citations
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations Liu Yang, Dongkun Zhang, George Em Karniadakis SIAM Journal on Scientific Computing EngineeringMachine LearningNeural NetworkGenerative SystemStochastic Differential Equations	2020	396
Spectral element simulations of laminar and turbulent flows in complex geometries George Em Karniadakis Applied Numerical Mathematics Numerical AnalysisAeroacousticsSpectral Element SimulationsUnsteady FlowEngineering	1989	68
Uncertainty quantification for noisy inputs–outputs in physics-informed neural networks and neural operators Zongren Zou, Xuhui Meng, George Em Karniadakis Computer Methods in Applied Mechanics and Engineering Artificial IntelligenceUncertainty (Quantum Physics)EngineeringMachine LearningPhysics	2024	22
NeuroSEM: A hybrid framework for simulating multiphysics problems by coupling PINNs and spectral elements Khemraj Shukla, Zongren Zou, Chi Hin Chan, Computer Methods in Applied Mechanics and Engineering PhysicsComputational NeuroscienceHybrid FrameworkMultiphysics ProblemsNatural Sciences	2024	17
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning Juan Diego Toscano, Vivek Oommen, Alan John Varghese, arXiv (Cornell University)	2024	13
Predicting crack nucleation and propagation in brittle materials using Deep Operator Networks with diverse trunk architectures Elham Kiyani, M. Manav, Nikhil Kadivar, Computer Methods in Applied Mechanics and Engineering	2025	12
Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators Hanxun Jin, Boyu Zhang, Qianying Cao, Advanced Materials	2025	12
State-Space Models are Accurate and Efficient Neural Operators for Dynamical Systems Zheyuan Hu, Nazanin Ahmadi Daryakenari, Qianli Shen, SSRN Electronic Journal	2024	11
Physics-Informed machine learning for solar-thermal power systems Julián D. Osorio, Mario De Florio, Rob Hovsapian, Energy Conversion and Management	2025	11

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