George Em Karniadakis

Author

Also Known As

Alireza Yazdani, G E Karniadakis, G Karniadakis, G. E. KARNIADAKIS, G. E. Karniadakis, G. Em Karniadakis, G. Karniadakis, G.E Karniadakis, G.E. KARNIADAKIS, G.E. Karniadakis

1.2K

Publications

96.5K

Citations

129

H-Index

416

Concepts

All Affiliations

Brown University Massachusetts Institute of Technology John Brown University Pacific Northwest National Laboratory

About

George Em Karniadakis is an author at Brown University specializing in engineering, fluid mechanics, and numerical analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	106	401	66K
2	Health Sciences	2	2	306
3	Arts	1	1	22
4	Business	1	1	11
5	Management	1	1	406

George Em Karniadakis

573

Publications

79.9K

Citations

124

H-Index

Page 1

	Year	Citations
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations Maziar Raissi, Paris Perdikaris, George Em Karniadakis Journal of Computational Physics EngineeringPde-constrained OptimizationDeep Learning FrameworkAi FoundationInverse Problems	2018	14.4K
The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations Dongbin Xiu, George Em Karniadakis SIAM Journal on Scientific Computing Numerical AnalysisEngineeringOrthogonal PolynomialsStochastic ProcessesStochastic System	2002	4.7K
Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations Maziar Raissi, Alireza Yazdani, George Em Karniadakis Science Geometric LearningReal-time VisualizationConvolutional Neural NetworkEngineeringMachine Learning	2020	1.8K
Modeling uncertainty in flow simulations via generalized polynomial chaos Dongbin Xiu, George Em Karniadakis Journal of Computational Physics EngineeringChaos TheoryUncertainty QuantificationNumerical SimulationHigh-dimensional Chaos	2003	1.4K
High-order splitting methods for the incompressible Navier-Stokes equations George Em Karniadakis, M. Israeli, Steven A. Orszag Journal of Computational Physics Numerical AnalysisHigh-order Splitting MethodsEngineeringIncompressible FlowSemi-implicit Method	1991	1.4K
Hidden physics models: Machine learning of nonlinear partial differential equations Maziar Raissi, George Em Karniadakis Journal of Computational Physics Numerical AnalysisEngineeringMachine LearningPde-constrained OptimizationNonlinear Process	2017	1.3K
Physics-informed neural networks for high-speed flows Zhiping Mao, Ameya D. Jagtap, George Em Karniadakis Computer Methods in Applied Mechanics and Engineering Unsteady FlowEngineeringPhysic Aware Machine LearningFluid MechanicsFlow Physic	2019	1.1K
NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations Xiaowei Jin, Shengze Cai, Hui Li, Journal of Computational Physics Compressible FlowEngineeringIncompressible FlowIncompressible Navier-stokes EquationsPhysic Aware Machine Learning	2020	1.1K
Physics-Informed Neural Networks for Heat Transfer Problems Shengze Cai, Zhicheng Wang, Sifan Wang, Journal of Heat Transfer Heat Transfer ProcessEngineeringMachine LearningDiscretization ErrorsPhysic Aware Machine Learning	2021	1K
Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems Ameya D. Jagtap, Ehsan Kharazmi, George Em Karniadakis Computer Methods in Applied Mechanics and Engineering Numerical AnalysisEngineeringPde-constrained OptimizationPhysicsPhysic Aware Machine Learning	2020	989

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