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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 26–50 of 192 papers

TitleStatusHype
TS-PIELM: Time-Stepping Physics-Informed Extreme Learning Machine Facilitates Soil Consolidation Analyses—0
Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient—0
BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations—0
Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy—0
A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse DataCode0
Toward Physics-Informed Machine Learning for Data Center Operations: A Tropical Case Study—0
Scientific machine learning in Hydrology: a unified perspective—0
Fourier-Invertible Neural Encoder (FINE) for Homogeneous Flows—0
Reconstructing Physics-Informed Machine Learning for Traffic Flow Modeling: a Multi-Gradient Descent and Pareto Learning ApproachCode0
LaPON: A Lagrange's-mean-value-theorem-inspired operator network for solving PDEs and its application on NSECode0
Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers—0
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
Physics-informed machine learning for building performance simulation-A review of a nascent field—0
Physics-Informed Deep B-Spline Networks for Dynamical Systems—0
Further Exploration of Precise Binding Energies from Physics Informed Machine Learning and the Development of a Practical Ensemble Model—0
A Multimodal Physics-Informed Neural Network Approach for Mean Radiant Temperature Modeling—0
A physics-informed Bayesian optimization method for rapid development of electrical machines—0
An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation—0
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