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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 21–30 of 192 papers

TitleStatusHype
A Gaussian Process Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential EquationsCode1
Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian InferenceCode1
Physics informed machine learning with Smoothed Particle Hydrodynamics: Hierarchy of reduced Lagrangian models of turbulenceCode1
Physics-Informed Machine Learning Simulator for Wildfire PropagationCode1
A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature—0
A physics-informed machine learning model for reconstruction of dynamic loads—0
A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing—0
A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems—0
A Physics-informed machine learning model for time-dependent wave runup prediction—0
TS-PIELM: Time-Stepping Physics-Informed Extreme Learning Machine Facilitates Soil Consolidation Analyses—0
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