Parekh, Vivek (2024): Deep Learning based Design and Optimization of Electrical Machines. Technische Universität Darmstadt, Darmstadt. DOI: 10.26083/tuprints-00027003. [Dissertation]
Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian ; Theisinger, Peter (2023): Multi-Objective Optimization of Electrical Machines using a Hybrid Data-and Physics-Driven Approach. In: 11th International Conference on Computation in Electromagnetics (CEM 2023), Cannes, France. [Poster]
Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2023): Deep learning based Meta-modeling for Multi-objective Technology Optimization of Electrical Machines. In: IEEE Access, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2023.3307499, ARXIV: 2306.09087, inprint. [Article]
Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2023): Performance Analysis of Electrical Machines Using a Hybrid Data- and Physics-Driven Model. In: IEEE Transactions on Energy Conversion, ISSN: 0885-8969, DOI: 10.1109/TEC.2022.3209103, ARXIV: 2201.09603. [Article]
Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2022): Performance Analysis of Electrical Machines Using a Hybrid Data- and Physics-Driven Model. In: Workshop on Advances in Electromagnetic Research – KWT 2022, Riezlern, Austria. URL: http://maxwell-in-motion.org. [Talk]
Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2022): Performance analysis of Electrical Machines based on Electromagnetic System Characterization using Deep Learning. In: 14th Conference on Scientific Computing in Electrical Engineering (SCEE 2022), Amsterdam. URL: https://www.scee-conferences.org/. [Poster]
Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2022): Variational Autoencoder based Metamodeling for Multi-Objective Topology Optimization of Electrical Machines. In: IEEE Transactions on Magnetics, ISSN: 0018-9464, DOI: 10.1109/TMAG.2022.3163972, ARXIV: 2201.08877. [Article]
Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2022): Multi-objective topology optimization of electrical machines using variational autoencoder. In: 23rd Conference on the Computation of Electromagnetic Fields (COMPUMAG 2021), Cancun, Mexico. International Compumag Society. URL: http://www.compumag2021.com. [Talk]
Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2021): Multi-objective Topology Optimization of Electrical Machines Using Variational Autoencoder. In: Workshop on Advances in Electromagnetic Research – KWT 2021, Virtual Conference. URL: http://maxwell-in-motion.org. [Talk]
Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2021): Deep Learning-based Prediction of Key Performance Indicators for Electrical Machine. In: IEEE Access, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2021.3053856, ARXIV: 2012.11299. [Article]
Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2020): Deep Learning-based Prediction of Key Performance Indicators for Electrical Machine. In: Workshop on Advances in Electromagnetic Research – KWT 2020, Virtual Conference. URL: http://maxwell-in-motion.org. [Talk]