SOTAVerified

Physics-informed machine learning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 192 papers

TitleStatusHype
Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers—0
LaPON: A Lagrange's-mean-value-theorem-inspired operator network for solving PDEs and its application on NSECode0
Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis—0
FMEnets: Flow, Material, and Energy networks for non-ideal plug flow reactor design—0
A Statistical Evaluation of Indoor LoRaWAN Environment-Aware Propagation for 6G: MLR, ANOVA, and Residual Distribution AnalysisCode0
Breaking the Diffraction Barrier for Passive Sources: Parameter-Decoupled Superresolution Assisted by Physics-Informed Machine Learning—0
Safe Physics-Informed Machine Learning for Dynamics and Control—0
A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature—0
Physics-informed Modularized Neural Network for Advanced Building Control by Deep Reinforcement Learning—0
Transforming Future Data Center Operations and Management via Physical AI—0
Show:102550
← PrevPage 2 of 20Next →

No leaderboard results yet.