SOTAVerified

Physics-informed machine learning

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

Papers

Showing 110 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
Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUsCode2
Physics-Informed Machine Learning: A Survey on Problems, Methods and ApplicationsCode2
Non-destructive Degradation Pattern Decoupling for Ultra-early Battery Prototype Verification Using Physics-informed Machine LearningCode2
Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systemsCode1
A physics-informed neural network for wind turbine main bearing fatigueCode1
Multi-Objective Loss Balancing for Physics-Informed Deep LearningCode1
Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forecastingCode1
Fleet Prognosis with Physics-informed Recurrent Neural NetworksCode1
Show:102550
← PrevPage 1 of 20Next →

No leaderboard results yet.