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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 121–130 of 192 papers

TitleStatusHype
Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward—0
Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning—0
Estimating irregular water demands with physics-informed machine learning to inform leakage detectionCode0
Separable Hamiltonian Neural NetworksCode0
Physics-informed machine learning of the correlation functions in bulk fluids—0
Hyperspectral Blind Unmixing using a Double Deep Image PriorCode0
Neural oscillators for generalization of physics-informed machine learningCode0
A physics-informed machine learning model for reconstruction of dynamic loads—0
A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems—0
Physics-informed Gaussian process model for Euler-Bernoulli beam elements—0
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