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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 141–150 of 192 papers

TitleStatusHype
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems—0
Physics-informed Machine Learning for Calibrating Macroscopic Traffic Flow Models—0
Physics-Informed Machine Learning for Microscale Drying of Plant-Based Foods: A Systematic Review of Computational Models and Experimental Insights—0
Physics-Informed Machine Learning for Efficient Reconfigurable Intelligent Surface Design—0
Physics-informed machine learning for building performance simulation-A review of a nascent field—0
Physics-informed Machine Learning for Battery Pack Thermal Management—0
Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward—0
Physics-Informed Machine Learning for Grade Prediction in Froth Flotation—0
Physics-informed machine learning for moving load problems—0
Physics-Informed Machine Learning for Seismic Response Prediction OF Nonlinear Steel Moment Resisting Frame Structures—0
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