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]