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]

Merkel, Melina ; Gangl, Peter ; Schöps, Sebastian (2021):
Shape Optimization of Rotating Electric Machines using Isogeometric Analysis.
In: IEEE Transactions on Energy Conversion, ISSN: 0885-8969, DOI: 10.1109/TEC.2021.3061271, ARXIV: 1908.06009, forthcoming. [Article]

Kurz, Stefan ; Schöps, Sebastian ; Unger, Gerhard ; Wolf, Felix (2021):
Solving Maxwell's Eigenvalue Problem via Isogeometric Boundary Elements and a Contour Integral Method.
In: Mathematical Methods in the Applied Sciences, ISSN: 1099-1476, ARXIV: 2001.09686, forthcoming. [Article]

Kulchytska-Ruchka, Iryna ; Schöps, Sebastian (2021):
Towards a Parallel-in-Time Calculation of Time-Periodic Solutions with Unknown Period.
In: Scientific Computing in Electrical Engineering SCEE 2020, Mathematics in Industry. Springer. ARXIV: 2004.01612, forthcoming. [In Proceedings]

Kulchytska-Ruchka, Iryna ; Schöps, Sebastian ; Hinze, Michael ; Friedhoff, Stephanie ; Ulbrich, Stefan ; Rain, Oliver. PASIROM: Parallel Simulation and Robust Optimization of Electro-Mechanical Energy Converters. In Success Stories on Mathematics in Industry. Springer, 2021. [In Collection]

Kulchytska-Ruchka, Iryna ; Schöps, Sebastian (2021):
Efficient Parallel-in-Time Solution of Time-Periodic Problems Using a Multi-Harmonic Coarse Grid Correction.
In: SIAM Journal on Scientific Computing, 43, (1), pp. C61–C88, ISSN: 1064-8275, DOI: 10.1137/20M1314756, ARXIV: 1908.05245. [Article]

Fuhrländer, Mona ; Schöps, Sebastian (2021):
Yield Optimization using Hybrid Gaussian Process Regression and a Genetic Multi-Objective Approach.
In: Advances in Radio Science, ISSN: 1684-9965, ARXIV: 2010.04028, forthcoming. [Article]

Egger, Herbert ; Harutyunyan, Mané ; Merkel, Melina ; Schöps, Sebastian (2021):
On the stability of harmonic mortar methods with application to electric machines.
In: Scientific Computing in Electrical Engineering SCEE 2020, Mathematics in Industry. Springer. ARXIV: 2005.12020, forthcoming. [In Proceedings]

Cortes Garcia, Idoia ; Pade, Jonas ; Schöps, Sebastian ; Tischendorf, Caren (2021):
Waveform relaxation for low frequency coupled field/circuit differential-algebraic models of index 2.
In: Scientific Computing in Electrical Engineering SCEE 2020, Mathematics in Industry. Springer. ARXIV: 2005.13272, forthcoming. [In Proceedings]

Cortes Garcia, Idoia ; Schöps, Sebastian ; Bortot, Lorenzo ; Mentink, Matthias. Mathematical Modeling, Simulation and Optimization for CERN's Quench Protection System. In Success Stories on Mathematics in Industry. Springer, 2021. [In Collection]