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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 1–10 of 192 papers

TitleStatusHype
NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine LearningCode3
Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold NetworksCode2
Non-destructive Degradation Pattern Decoupling for Ultra-early Battery Prototype Verification Using Physics-informed Machine LearningCode2
Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUsCode2
Physics-Informed Machine Learning: A Survey on Problems, Methods and ApplicationsCode2
QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEsCode1
Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEsCode1
Social Physics Informed Diffusion Model for Crowd SimulationCode1
A Gaussian Process Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential EquationsCode1
Physics-informed neural networks for highly compressible flowsCode1
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