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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 171–180 of 192 papers

TitleStatusHype
Physics Encoded Blocks in Residual Neural Network Architectures for Digital Twin ModelsCode0
Physics-Informed Calibration of Aeromagnetic Compensation in Magnetic Navigation Systems using Liquid Time-Constant NetworksCode0
A Machine Learning Pressure Emulator for Hydrogen EmbrittlementCode0
Estimating irregular water demands with physics-informed machine learning to inform leakage detectionCode0
Π-ML: A dimensional analysis-based machine learning parameterization of optical turbulence in the atmospheric surface layerCode0
Physics-Informed Deep Neural Networks for Transient Electromagnetic AnalysisCode0
Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator LearningCode0
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series AnalysisCode0
Physics-informed kernel learningCode0
Physics-informed machine learning as a kernel methodCode0
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