Komann, Theodor ; Wiesheu, Michael ; Ulbrich, Stefan ; Schöps, Sebastian (2024): Robust Design Optimization of Electric Machines with Isogeometric Analysis. In: Mathematics, ISSN: 2227-7390, DOI: 10.3390/math12091299. [Article]

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): 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]

Merkel, Melina ; Kapidani, Bernard ; Schöps, Sebastian ; Vázquez, Rafael (2022): Torque Computation with the Isogeometric Mortar Method for the Simulation of Electric Machines. In: IEEE Transactions on Magnetics, ISSN: 0018-9464, DOI: 10.1109/TMAG.2022.3186247, ARXIV: 2202.05771. [Article]

Kapidani, Bernard ; Merkel, Melina ; Schöps, Sebastian ; Vázquez, Rafael (2022): Tree-Cotree Decomposition of Isogeometric Mortared Spaces in H(curl) on Multi-Patch Domains. In: Computer Methods in Applied Mechanics and Engineering, 395, pp. 114949, ISSN: 0045-7825, DOI: 10.1016/j.cma.2022.114949, ARXIV: 2110.15860. [Article]

Huber, Morten ; Fuhrländer, Mona ; Schöps, Sebastian (2022): Multi-Objective Yield Optimization for Electrical Machines using Gaussian Processes to Learn Faulty Designs. In: IEEE Transactions on Industry Applications, 59, (2), pp. 1340–1350, ISSN: 0093-9994, DOI: 10.1109/TIA.2022.3211250, ARXIV: 2204.04986. [Article]

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]

Bolten, Matthias ; Friedhoff, Stephanie ; Hahne, Jens ; Schöps, Sebastian (2020): Parallel-in-Time Simulation of an Electrical Machine using MGRIT. In: Computing and Visualization in Science, ISSN: 1432-9360, DOI: 10.1007/s00791-020-00333-2, ARXIV: 1912.03106. [Article]

Bontinck, Zeger ; Lass, Oliver ; Schöps, Sebastian ; De Gersem, Herbert ; Ulbrich, Stefan ; Rain, Oliver (2018): Robust Optimization Formulations for the Design of an Electric Machine. In: IET Science, Measurement & Technology, 12, (8), pp. 939–948, ISSN: 1751-8822, DOI: 10.1049/iet-smt.2018.5235, ARXIV: 1712.01536. [Article]

Bontinck, Zeger ; Corno, Jacopo ; Schöps, Sebastian ; De Gersem, Herbert (2018): Isogeometric Analysis and Harmonic Stator-Rotor Coupling for Simulating Electric Machines. In: Computer Methods in Applied Mechanics and Engineering, 334, pp. 40–55, ISSN: 0045-7825, DOI: 10.1016/j.cma.2018.01.047, ARXIV: 1709.05301. [Article]

Bhat, Prithvi ; Bontinck, Zeger ; Corno, Jacopo ; Schöps, Sebastian ; De Gersem, Herbert (2018): Modeling of a Permanent Magnet Synchronous Machine Using Isogeometric Analysis. In: COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 37, (5), pp. 1805–1814, ISSN: 0332-1649, DOI: 10.1108/COMPEL-01-2018-0014, ARXIV: 1708.02409. [Article]

Bontinck, Zeger ; Lass, Oliver ; De Gersem, Herbert ; Schöps, Sebastian (2017): Uncertainty Quantification for a Permanent Magnet Synchronous Machine with Dynamic Rotor Eccentricity. In: Progress in Industrial Mathematics at ECMI 2016, volume 26 of The European Consortium for Mathematics in Industry. Springer. ISBN: 978-3-319-63081-6, DOI: 10.1007/978-3-319-63082-3_77. [In Proceedings]

Bontinck, Zeger ; Lass, Oliver ; De Gersem, Herbert ; Schöps, Sebastian (2016): UQ of a PMSM With Dynamic Rotor Eccentricity and Shape Optimization of its Magnets. In: XXIV Symposium Electromagnetic Phenomena in Nonlinear Circuits – Proceedings EPNC 2016, 81–82. Poznań, PTETiS Publishers. ISBN: 9788362712045. [In Proceedings]

Bontinck, Zeger ; De Gersem, Herbert ; Schöps, Sebastian (2016): Response Surface Models for the Uncertainty Quantification of Eccentric Permanent Magnet Synchronous Machines. In: IEEE Transactions on Magnetics, ISSN: 0018-9464, DOI: 10.1109/TMAG.2015.2491607, Article #7203404. [Article]

Bontinck, Zeger ; Lass, Oliver ; Schöps, Sebastian (2015): Robust Optimization of a Stochastic Reduced Order Model of a Permanent Magnet Synchronous Machine. In: ISEF 2015 – XVII International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering. ISBN: 978-84-606-9102-0. [In Proceedings]