SOTAVerified

Physics-informed machine learning

Machine learning used to represent physics-based and/or engineering models

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 131–140 of 192 papers

TitleStatusHype
Optimal Power Flow in Highly Renewable Power System Based on Attention Neural Networks—0
Overview of Physics-Informed Machine Learning Inversion of Geophysical Data—0
Grid-SiPhyR: An end-to-end learning to optimize framework for combinatorial problems in power systems—0
Physics-Informed Computer Vision: A Review and Perspectives—0
Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network—0
Physics-Informed Deep B-Spline Networks for Dynamical Systems—0
Physics-informed Gaussian process model for Euler-Bernoulli beam elements—0
Physics-Informed Induction Machine Modelling—0
Physics-informed machine learning for Structural Health Monitoring—0
Physics Informed Machine Learning for Chemistry Tabulation—0
Show:102550
← PrevPage 14 of 20Next →

No leaderboard results yet.