Deep Learning-based Prediction of Key Performance Indicators for Electrical Machine. - Vivek Parekh; Dominik Flore; Sebastian Schöps (CoRR, 2020)

Deep Learning-Based Prediction of Key Performance Indicators for Electrical Machines. - Vivek Parekh; Dominik Flore; Sebastian Schöps (IEEE Access, 2021)

Variational Autoencoder based Metamodeling for Multi-Objective Topology Optimization of Electrical Machines. - Vivek Parekh; Dominik Flore; Sebastian Schöps (CoRR, 2022)

Performance analysis of Electrical Machines based on Electromagnetic System Characterization using Deep Learning. - Vivek Parekh; Dominik Flore; Sebastian Schöps (CoRR, 2022)

Deep Learning-Based Meta-Modeling for Multi-Objective Technology Optimization of Electrical Machines. - Vivek Parekh; Dominik Flore; Sebastian Schöps (IEEE Access, 2023)

Multi-Objective Optimization of Electrical Machines using a Hybrid Data-and Physics-Driven Approach. - Vivek Parekh; Dominik Flore; Sebastian Schöps; Peter Theisinger (CoRR, 2023)