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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 151–175 of 192 papers

TitleStatusHype
Grid-SiPhyR: An end-to-end learning to optimize framework for combinatorial problems in power systems—0
Towards Size-Independent Generalization Bounds for Deep Operator NetsCode0
Scalable algorithms for physics-informed neural and graph networks—0
Physics-informed machine learning techniques for edge plasma turbulence modelling in computational theory and experimentCode0
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning—0
Calibrating constitutive models with full-field data via physics informed neural networks—0
Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network—0
Numerical Approximation in CFD Problems Using Physics Informed Machine Learning—0
Towards Model Reduction for Power System Transients with Physics-Informed PDE—0
A Metalearning Approach for Physics-Informed Neural Networks (PINNs): Application to Parameterized PDEs—0
Physics informed machine learning with Smoothed Particle Hydrodynamics: Hierarchy of reduced Lagrangian models of turbulenceCode1
Multi-Objective Loss Balancing for Physics-Informed Deep LearningCode1
Physics-informed Neural Networks-based Model Predictive Control for Multi-link ManipulatorsCode1
AdjointNet: Constraining machine learning models with physics-based codes—0
Physics-Informed Machine Learning Method for Large-Scale Data Assimilation ProblemsCode0
Grey-box models for wave loading prediction—0
Numerical Gaussian process Kalman filtering for spatiotemporal systems—0
Applying physics-based loss functions to neural networks for improved generalizability in mechanics problems—0
Discovering nonlinear resonances through physics-informed machine learning—0
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes—0
NETWORK COMPRESSION FOR MACHINE-LEARNT FLUID SIMULATIONS—0
A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing—0
Physics-Informed Machine Learning Simulator for Wildfire PropagationCode1
AutoMat: Accelerated Computational Electrochemical systems Discovery—0
A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications—0
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