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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 31–40 of 192 papers

Title	Date	Tasks	Status	Hype	Score
Non-overlapping, Schwarz-type Domain Decomposition Method for Physics and Equality Constrained Artificial Neural Networks	Sep 20, 2024	Physics-informed machine learning	CodeCode Available	0	5
Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures	Jul 16, 2022	Physics-informed machine learning	CodeCode Available	0	5
Neural oscillators for generalization of physics-informed machine learning	Aug 17, 2023	Physics-informed machine learning	CodeCode Available	0	5
PDE-DKL: PDE-constrained deep kernel learning in high dimensionality	Jan 30, 2025	Computational EfficiencyGaussian Processes	CodeCode Available	0	5
Physics-informed machine learning as a kernel method	Feb 12, 2024	Physics-informed machine learningregression	CodeCode Available	0	5
L-HYDRA: Multi-Head Physics-Informed Neural Networks	Jan 5, 2023	Few-Shot LearningMeta-Learning	CodeCode Available	0	5
LaPON: A Lagrange's-mean-value-theorem-inspired operator network for solving PDEs and its application on NSE	May 18, 2025	Physics-informed machine learningWeather Forecasting	CodeCode Available	0	5
A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse Data	May 27, 2025	Physics-informed machine learning	CodeCode Available	0	5
Hyperspectral Blind Unmixing using a Double Deep Image Prior	Aug 21, 2023	Hyperspectral UnmixingImage Generation	CodeCode Available	0	5
Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics	Feb 16, 2024	Physics-informed machine learning	CodeCode Available	0	5

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