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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 101–150 of 192 papers

TitleStatusHype
Predicting 3D Rigid Body Dynamics with Deep Residual Network—0
Prediction of Reynolds Stresses in High-Mach-Number Turbulent Boundary Layers using Physics-Informed Machine Learning—0
QRnet: optimal regulator design with LQR-augmented neural networks—0
Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems—0
Replication Study: Enhancing Hydrological Modeling with Physics-Guided Machine Learning—0
Safe Physics-Informed Machine Learning for Dynamics and Control—0
Scalable algorithms for physics-informed neural and graph networks—0
Scientific machine learning in Hydrology: a unified perspective—0
Self-tuning moving horizon estimation of nonlinear systems via physics-informed machine learning Koopman modeling—0
Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning—0
Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient—0
Spectrally Informed Learning of Fluid Flows—0
Structural Constraints for Physics-augmented Learning—0
Tensor Basis Gaussian Process Models of Hyperelastic Materials—0
Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy—0
Toward Physics-Informed Machine Learning for Data Center Operations: A Tropical Case Study—0
Towards Physically Interpretable World Models: Meaningful Weakly Supervised Representations for Visual Trajectory Prediction—0
Transcriptome and Redox Proteome Reveal Temporal Scales of Carbon Metabolism Regulation in Model Cyanobacteria Under Light Disturbance—0
Transforming Future Data Center Operations and Management via Physical AI—0
Understanding Generalization in Physics Informed Models through Affine Variety Dimensions—0
Universal Battery Performance and Degradation Model for Electric Aircraft—0
Update hydrological states or meteorological forcings? Comparing data assimilation methods for differentiable hydrologic models—0
Valuation of Public Bus Electrification with Open Data—0
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning—0
Multi-scale Digital Twin: Developing a fast and physics-informed surrogate model for groundwater contamination with uncertain climate models—0
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives—0
NETWORK COMPRESSION FOR MACHINE-LEARNT FLUID SIMULATIONS—0
Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics—0
Physical Data Embedding for Memory Efficient AI—0
Numerical Approximation in CFD Problems Using Physics Informed Machine Learning—0
Numerical Gaussian process Kalman filtering for spatiotemporal systems—0
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
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems—0
Physics-informed Machine Learning for Calibrating Macroscopic Traffic Flow Models—0
Physics-Informed Machine Learning for Microscale Drying of Plant-Based Foods: A Systematic Review of Computational Models and Experimental Insights—0
Physics-Informed Machine Learning for Efficient Reconfigurable Intelligent Surface Design—0
Physics-informed machine learning for building performance simulation-A review of a nascent field—0
Physics-informed Machine Learning for Battery Pack Thermal Management—0
Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward—0
Physics-Informed Machine Learning for Grade Prediction in Froth Flotation—0
Physics-informed machine learning for moving load problems—0
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