Maziar Raissi - Concepedia

Author

Maziar Raissi

Brown University ORCID

Also Known As

M. Raissi, MOHAMMED-AMINE RAISSI, Maziar Raissi, Raissi, M., Raissi, Maziar

Publications

25.9K

Citations

H-Index

Concepts

All Affiliations

Brown University University of Colorado Boulder Massachusetts Institute of Technology George Mason University Purdue University West Lafayette

About

Maziar Raissi is an author at Brown University specializing in machine learning, engineering, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	23	21.9K
2	Medicine	3	3	64
3	Business	2	2	304
4	Management	1	1	406
5	Natural Sciences	1	1	27

Maziar Raissi

Publications

25.7K

Citations

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
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Journal of Scientific Computing	2022	1.9K
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
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
A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics Ehsan Haghighat, Maziar Raissi, Adrian Moure, Computer Methods in Applied Mechanics and Engineering EngineeringMachine LearningPhysicsSurrogate ModelingPhysic Aware Machine Learning	2021	1K
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations Maziar Raissi, Paris Perdikaris, George Em Karniadakis arXiv (Cornell University) Artificial IntelligenceGeometric LearningEngineeringMachine LearningAi Foundation	2017	961
Machine learning of linear differential equations using Gaussian processes Maziar Raissi, Paris Perdikaris, George Em Karniadakis Journal of Computational Physics Gaussian ProcessMachine Learning	2017	571
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations Maziar Raissi arXiv (Cornell University) Artificial IntelligenceGeometric LearningEngineeringMachine LearningMachine Learning Tool	2018	438
Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling Paris Perdikaris, Maziar Raissi, Andreas Damianou, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences EngineeringMachine LearningMulti-sensor Information FusionVariable FidelityData Science	2017	406
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations Maziar Raissi, Paris Perdikaris, George Em Karniadakis arXiv (Cornell University) EngineeringMachine LearningContinuous TimeData-driven DiscoveryPde-constrained Optimization	2017	316

Page 1