Abstract: Fine solving time step is commonly required in the simulation of grid-tied inverters due to the fast inner-loop control and high-frequency switching behavior. However, the dynamics of the ...
Abstract: The partial discharge technique (PD) is identified as one of the most efficient and powerful techniques for identifying the behavior of PD events in electrical power systems, particularly ...
In this part of the lab we will explore ArcGIS Pro’s Suitability Modeler, a tool that streamlines the process of combining and classifying raster layers. Unlike manual methods, the Suitability Modeler ...
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CEGINO is a continuous-equivariant geometry-informed neural operator for surrogate modeling of 3D PDE fields on irregular 3D geometries. The model is designed to learn PDE solution operators on ...
"Neural Networks Meet Physics: A Survey of Physics-Informed Approaches to Modeling and Simulation." Nasir, Karthika, Rahul Menon, and Sneha Iyer. (2025). [Paper] Torres, Edgar, and Mathias Niepert.
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