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Physics-Informed Machine Learning for UAV Control
2024 21st International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)Carlos Alexander Osorio Quero +1 more
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Physics Informed Machine Learning: Seismic Wave Equation
Geoscience Frontiers, 2020Pejman Tahmasebi, Sadegh Karimpouli
exaly
Physics-Informed Machine Learning: Case Studies for Weather and Climate Modelling
Philosophical Transactions Series A, Mathematical, Physical, and Engineering Sciences, 2021Heng Xiao +2 more
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Physics-informed machine learning for wetting hydrodynamics
Journal of Computational PhysicsAndreas D. Demou +2 more
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Machine Learning for Metal Additive Manufacturing: Towards a Physics-Informed Data-Driven Paradigm
Journal of Manufacturing Systems, 2022Clayton Cooper, Weihong Guo, Qi Tian
exaly
Physics-Informed Machine Learning for Traffic Prediction
Accurate short-term traffic prediction is critical for proactive traffic management and traveler information systems. Purely data-driven machine learning (ML) models, such as deep neural networks or LSTMs, often achieve high predictive accuracy but can violate fundamental physical laws of traffic flow (e.g., vehicle conservation), leading to physicallyopenaire +1 more source
Physically informed machine learning for functional materials
This thesis investigates the incorporation of physically informed machine learning techniques—particularly Gaussian Process (GP) regression and Atomic Cluster Expansion (ACE)—to effectively study and model the complex physical behaviours of functional materials.openaire +1 more source