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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 1–50 of 192 papers

TitleStatusHype
Physics-Informed Machine Learning Regulated by Finite Element Analysis for Simulation Acceleration of Laser Powder Bed Fusion—0
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
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
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
QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEsCode1
NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine LearningCode3
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
Update hydrological states or meteorological forcings? Comparing data assimilation methods for differentiable hydrologic models—0
A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems—0
Generalizable and Fast Surrogates: Model Predictive Control of Articulated Soft Robots using Physics-Informed Neural Networks—0
Understanding Generalization in Physics Informed Models through Affine Variety Dimensions—0
PDE-DKL: PDE-constrained deep kernel learning in high dimensionalityCode0
Empirical modeling and hybrid machine learning framework for nucleate pool boiling on microchannel structured surfaces—0
Physics-Informed Machine Learning for Efficient Reconfigurable Intelligent Surface Design—0
Physics-Informed Machine Learning for Microscale Drying of Plant-Based Foods: A Systematic Review of Computational Models and Experimental Insights—0
KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics—0
Towards Physically Interpretable World Models: Meaningful Weakly Supervised Representations for Visual Trajectory Prediction—0
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series AnalysisCode0
RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity FactorsCode0
Physics Encoded Blocks in Residual Neural Network Architectures for Digital Twin ModelsCode0
Physics-informed Machine Learning for Battery Pack Thermal Management—0
Advancing Hybrid Quantum Neural Network for Alternative Current Optimal Power Flow—0
A Data-driven Crowd Simulation Framework Integrating Physics-informed Machine Learning with Navigation Potential Fields—0
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning—0
Transcriptome and Redox Proteome Reveal Temporal Scales of Carbon Metabolism Regulation in Model Cyanobacteria Under Light Disturbance—0
Structural Constraints for Physics-augmented Learning—0
DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Training—0
Non-overlapping, Schwarz-type Domain Decomposition Method for Physics and Equality Constrained Artificial Neural NetworksCode0
Physics-informed kernel learningCode0
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