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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 11–20 of 192 papers

TitleStatusHype
Physics-constrained deep learning postprocessing of temperature and humidityCode1
Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian InferenceCode1
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow PredictionCode1
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure managementCode1
Physics informed machine learning with Smoothed Particle Hydrodynamics: Hierarchy of reduced Lagrangian models of turbulenceCode1
Multi-Objective Loss Balancing for Physics-Informed Deep LearningCode1
Physics-informed Neural Networks-based Model Predictive Control for Multi-link ManipulatorsCode1
Physics-Informed Machine Learning Simulator for Wildfire PropagationCode1
Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forecastingCode1
A physics-informed neural network for wind turbine main bearing fatigueCode1
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