SOTAVerified

Physics-informed machine learning

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

Papers

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Showing 121–130 of 192 papers

TitleStatusHype
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
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
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