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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 151–160 of 192 papers

TitleStatusHype
Physics-informed neural networks for pathloss prediction—0
Multi-scale Digital Twin: Developing a fast and physics-informed surrogate model for groundwater contamination with uncertain climate models—0
Physics Informed Machine Learning for Chemistry Tabulation—0
Valuation of Public Bus Electrification with Open Data—0
How important are activation functions in regression and classification? A survey, performance comparison, and future directions—0
Physics-informed Machine Learning of Parameterized Fundamental Diagrams—0
Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structuresCode0
Physics-informed machine learning for Structural Health Monitoring—0
Noise-aware Physics-informed Machine Learning for Robust PDE DiscoveryCode0
Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning—0
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