
Hidden Fluid Mechanics: A NavierStokes Informed Deep Learning Framework for Assimilating Flow Visualization Data
We present hidden fluid mechanics (HFM), a physics informed deep learnin...
08/13/2018 ∙ by Maziar Raissi, et al. ∙ 2 ∙ shareread it

Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations
While there is currently a lot of enthusiasm about "big data", useful da...
08/02/2017 ∙ by Maziar Raissi, et al. ∙ 0 ∙ shareread it

Parametric Gaussian Process Regression for Big Data
This work introduces the concept of parametric Gaussian processes (PGPs)...
04/11/2017 ∙ by Maziar Raissi, et al. ∙ 0 ∙ shareread it

Machine Learning of Linear Differential Equations using Gaussian Processes
This work leverages recent advances in probabilistic machine learning to...
01/10/2017 ∙ by Maziar Raissi, et al. ∙ 0 ∙ shareread it

Deep Multifidelity Gaussian Processes
We develop a novel multifidelity framework that goes far beyond the cla...
04/26/2016 ∙ by Maziar Raissi, et al. ∙ 0 ∙ shareread it

Physics Informed Deep Learning (Part II): Datadriven Discovery of Nonlinear Partial Differential Equations
We introduce physics informed neural networks  neural networks that ar...
11/28/2017 ∙ by Maziar Raissi, et al. ∙ 0 ∙ shareread it

Multistep Neural Networks for Datadriven Discovery of Nonlinear Dynamical Systems
The process of transforming observed data into predictive mathematical m...
01/04/2018 ∙ by Maziar Raissi, et al. ∙ 0 ∙ shareread it

Numerical Gaussian Processes for Timedependent and Nonlinear Partial Differential Equations
We introduce the concept of numerical Gaussian processes, which we defin...
03/29/2017 ∙ by Maziar Raissi, et al. ∙ 0 ∙ shareread it

ForwardBackward Stochastic Neural Networks: Deep Learning of Highdimensional Partial Differential Equations
Classical numerical methods for solving partial differential equations s...
04/19/2018 ∙ by Maziar Raissi, et al. ∙ 0 ∙ shareread it

Machine Learning of SpaceFractional Differential Equations
Datadriven discovery of "hidden physics"  i.e., machine learning of d...
08/02/2018 ∙ by Mamikon Gulian, et al. ∙ 0 ∙ shareread it

Physics Informed Deep Learning (Part I): Datadriven Solutions of Nonlinear Partial Differential Equations
We introduce physics informed neural networks  neural networks that ar...
11/28/2017 ∙ by Maziar Raissi, et al. ∙ 0 ∙ shareread it

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
A longstanding problem at the interface of artificial intelligence and ...
01/20/2018 ∙ by Maziar Raissi, et al. ∙ 0 ∙ shareread it

Deep Learning of Vortex Induced Vibrations
Vortex induced vibrations of bluff bodies occur when the vortex shedding...
08/26/2018 ∙ by Maziar Raissi, et al. ∙ 0 ∙ shareread it

Deep Learning of Turbulent Scalar Mixing
Based on recent developments in physicsinformed deep learning and deep ...
11/17/2018 ∙ by Maziar Raissi, et al. ∙ 0 ∙ shareread it
Maziar Raissi
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