Sometimes, a major discovery is exactly what you were hoping not to find. That’s the case with a team at Penn State who seem ...
With AI tools entering the engineering simulation workflow and demand for structured FEA expertise growing globally, FEA Academy delivers the ...
Abstract: This work presents a comparison between the finite element method and isogeometric analysis, when solving an electromagnetic problem with an included hysteresis model, for a high and low ...
The data and code for the paper Neural-operator element method: Efficient and scalable finite element method enabled by reusable neural operators. This repository contains reference implementations ...
Abstract: Graph neural networks (GNNs) have demonstrated success as surrogate models for fluid simulations with smoothly varying dynamics, but their efficacy for discrete element method (DEM) ...
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