Physics-Informed Machine Learning
- Physics-based Deep Learning Book
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[2203.16797] When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
– nice review - Physics-informed machine learning | Nature Reviews Physics
- ShieldSquare Captcha
- Phys. Rev. Fluids 3, 074602 (2018) - Physics-informed machine learning approach for augmenting turbulence models: A comprehensive framework
- [2202.06416] State-of-the-Art Review of Design of Experiments for Physics-Informed Deep Learning
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[2202.10679] Physics-Informed Graph Learning
– graph learning - [2107.01188] Combinatorial Optimization with Physics-Inspired Graph Neural Networks
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https://epubs.siam.org/doi/abs/10.1137/21M1397908
– inverse problem -
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models | Proceedings of the AAAI Conference on Artificial Intelligence
– traffic -
AAAI2022: STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
– traffic -
[2102.06349] Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems
– power
Flow estimation
- ICLR 22 Combining Physics and Machine Learning for Network Flow Estimation | OpenReview
– new problem: flow estimation - KDD 19 Graph-based semi-supervised & active learning for edge flows
Intro to power flow
UQ for PINN
Tutorial, Survey and Collection
- ML for Physics and Physics for ML Tutorial
- https://physicsml.github.io
- GitHub - thunil/Physics-Based-Deep-Learning: Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
- [1902.02950] Differentiable Physics-informed Graph Networks