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Physics-informed machine learning

Machine learning used to represent physics-based and/or engineering models

Papers

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Showing 111–120 of 192 papers

TitleStatusHype
Hyperspectral Blind Unmixing using a Double Deep Image PriorCode0
Neural oscillators for generalization of physics-informed machine learningCode0
A physics-informed machine learning model for reconstruction of dynamic loads—0
A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems—0
Physics-informed Gaussian process model for Euler-Bernoulli beam elements—0
Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics—0
Physics-informed Machine Learning for Calibrating Macroscopic Traffic Flow Models—0
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems—0
A Machine Learning Pressure Emulator for Hydrogen EmbrittlementCode0
An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential EquationsCode0
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