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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
NETWORK COMPRESSION FOR MACHINE-LEARNT FLUID SIMULATIONS—0
A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing—0
Physics-Informed Machine Learning Simulator for Wildfire PropagationCode1
AutoMat: Accelerated Computational Electrochemical systems Discovery—0
A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications—0
Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forecastingCode1
QRnet: optimal regulator design with LQR-augmented neural networks—0
Physics-informed machine learning for the COVID-19 pandemic: Adherence to social distancing and short-term predictions for eight countriesCode0
Physics-Informed Deep Neural Networks for Transient Electromagnetic AnalysisCode0
Universal Battery Performance and Degradation Model for Electric Aircraft—0
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