40 citations · 40 across the 2 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2023
Multi-Objective Optimization of Electrical Machines using a Hybrid Data-and Physics-Driven Approach
Vivek Parekh, Dominik Flore, Sebastian Schöps +1
Magneto-static finite element (FE) simulations make numerical optimization of electrical machines very time-consuming and computationally intensive during the design stage. In this…
cs.LG2021★ 40 cited
Deep Learning-based Prediction of Key Performance Indicators for Electrical Machine
Vivek Parekh, Dominik Flore, Sebastian Schöps
The design of an electrical machine can be quantified and evaluated by Key Performance Indicators (KPIs) such as maximum torque, critical field strength, costs of active parts, sou…