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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 machine learning for sensor fault detection with flight test data—0
Physics-Informed Machine Learning for Smart Additive Manufacturing—0
Physics-Informed Machine Learning for the Inverse Design of Wave Scattering Clusters—0
Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing—0
L-HYDRA: Multi-Head Physics-Informed Neural NetworksCode0
A Statistical Evaluation of Indoor LoRaWAN Environment-Aware Propagation for 6G: MLR, ANOVA, and Residual Distribution AnalysisCode0
Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structuresCode0
LaPON: A Lagrange's-mean-value-theorem-inspired operator network for solving PDEs and its application on NSECode0
Neural oscillators for generalization of physics-informed machine learningCode0
Noise-aware Physics-informed Machine Learning for Robust PDE DiscoveryCode0
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