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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 131–140 of 192 papers

TitleStatusHype
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
Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model—0
Physics-Informed Computer Vision: A Review and Perspectives—0
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives—0
Unsupervised Discovery of Extreme Weather Events Using Universal Representations of Emergent OrganizationCode0
Π-ML: A dimensional analysis-based machine learning parameterization of optical turbulence in the atmospheric surface layerCode0
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