Zorzetto, Matteo ; Backmeyer, Merle ; Wiesheu, Michael ; Torchio, Riccardo ; Dughiero, Fabrizio ; Schöps, Sebastian (2026): Gradient-Informed Machine Learning in Electromagnetics. In: IEEE Transactions on Magnetics, ISSN: 0018-9464, DOI: 10.1109/TMAG.2026.3702291, ARXIV: 2601.18300. [Article]

Ziegler, Anna ; Schöps, Sebastian (2026): A Mixed Tree-Cotree Gauge for the Reduced Basis Approximation of Maxwell's Eigenvalue Problem. In: Scientific Computing in Electrical Engineering SCEE 2024, Mathematics in Industry. Springer. ARXIV: 2406.11276, accepted. [In Proceedings]

Wiesheu, Michael ; Schöps, Sebastian ; Garcia, Idoia Cortes (2026): A Comparison of Multirate Co-Simulation Techniques for Field-Circuit Coupled Problems. Cornell University, ARXIV: 2606.03594. [Preprint].

Seibel, Timon ; Schöps, Sebastian ; Schmidt, Kersten (2026): On the Application of Hybrid Mixed Domain Decomposition Methods to Permanent Magnet Synchronous Machines. Cornell University, ARXIV: 2605.31032. [Preprint].

Schöps, Sebastian ; Muetze, Annette ; Gersem, Herbert De ; Egger, Herbert ; Kaltenbacher, Manfred ; Lazanowski, Markus (2026): The CREATOR Project: Towards a Computational Electric Machine Laboratory. In: International Compumag Society Newsletter, ISSN: 1026-0854, ARXIV: 2606.16653, inprint. [Article]

Schnaubelt, Erik ; Wozniak, Mariusz ; Dular, Julien ; Cortes Garcia, Idoia ; Verweij, Arjan ; Schöps, Sebastian (2026): Parallel-in-Time Integration of Transient Phenomena in No-Insulation Superconducting Coils Using Parareal. In: Scientific Computing in Electrical Engineering SCEE 2024, Mathematics in Industry. Springer. ARXIV: 2404.13333, accepted. [In Proceedings]

Schmidt, Kersten ; Seibel, Timon ; Schöps, Sebastian (2026): On a Hybrid Mixed Domain Decomposition Method. Cornell University, ARXIV: 2604.22543. [Preprint].

Schäfer, Michael ; Behr, Marek ; Bungartz, Hans-Joachim ; Schöps, Sebastian ; Schulte, Miriam ; Torrilhon, Manuel ; Weeger, Oliver (editors) (2026): New Trends in Computational Engineering, Lecture Notes in Computational Science and Engineering, Springer. ISBN: 978-3-032-16252-6 DOI: 10.1007/978-3-032-16253-3 [Proceedings]

Partovizadeh, Aylar ; Schöps, Sebastian ; Loukrezis, Dimitrios (2026): Multivariate Sensitivity Analysis of Electric Machine Efficiency Maps and Profiles Under Design Uncertainty. In: IEEE Transactions on Energy Conversion, ISSN: 0885-8969, DOI: 10.1109/TEC.2026.3687758, ARXIV: 2511.17099. [Article]

Paakkunainen, Elias ; Denis, Louis ; Vanderheyden, Benoît ; Geuzaine, Christophe ; Rasilo, Paavo ; Schöps, Sebastian (2026): Homogenization of HTS coils with the h, h-phi, and t-omega foil conductor model. Cornell University, ARXIV: 2604.00154. [Preprint].

Mally, Mario ; Vázquez, Rafael ; Schöps, Sebastian. Antonietti, Paola ; Botti, Michele ; Brenner, Sue ; Ciaramella, Gabriele ; Kim, Hyea Hyun ; Langer, Ulrich ; Vergara, Christian (editors) (2026): Tree-Cotree-Based IETI-DP for Eddy Current Problems in Time-Domain. In: Domain Decomposition Methods in Science and Engineering XXIX, Lecture Notes in Computational Science and Engineering. Springer. ARXIV: 2510.23446, accepted. [In Proceedings]

Komann, Theodor ; Wiesheu, Michael ; Ulbrich, Stefan ; Schöps, Sebastian ; Gangl, Peter (2026): Efficient Pareto-Front Generation for Electric Machines using IGA and Second Order Derivatives. Cornell University, ARXIV: 2607.06085. [Preprint].

Herter, Christine ; Schöps, Sebastian ; Wollner, Winnifried (2026): Numerical Eigenvalue Optimization by Shape-Variations for Maxwell's Eigenvalue Problem. In: Optimization Methods and Software, ISSN: 1055-6788, DOI: 10.1080/10556788.2026.2651158, ARXIV: 2407.11703, accepted. [Article]

Hahn, Robert ; Schöps, Sebastian (2026): Multi-Level Monte Carlo sampling with Parallel-in-Time Integration for Uncertainty Quantification in Electric Machine Simulation. In: IEEE Transactions on Magnetics, ISSN: 0018-9464, DOI: 10.1109/TMAG.2026.3651851, ARXIV: 2507.19246. [Article]

Hahn, Robert ; Schnaubelt, Erik ; Wozniak, Mariusz ; Vitrano, Andrea ; Geuzaine, Christophe ; Schöps, Sebastian (2026): Mortar thin shell approximation for analysis of superconducting accelerator magnets. In: Scientific Computing in Electrical Engineering SCEE 2024, Mathematics in Industry. Springer. ARXIV: 2405.01076, accepted. [In Proceedings]

Grendas, Andreas ; Wiesheu, Michael ; Schöps, Sebastian ; Marussig, Benjamin (2026): Adaptive isogeometric analysis with THB-splines and multi-level Bézier extraction for coupled magnetostatics. In: IEEE Transactions on Magnetics, ISSN: 0018-9464, DOI: 10.1109/TMAG.2025.3640276, accepted. [Article]

De Gersem, Herbert ; Barbulescu, Ruxandra ; Cortes Garcia, Idoia ; Schöps, Sebastian (editors) (2026): Scientific Computing in Electrical Engineering SCEE 2024, Mathematics in Industry, Springer. accepted. [Proceedings]

Blumrich, Leon ; Burkhardt, Yves ; Schöps, Sebastian (2026): Characterization of permanent magnet synchronous machines based on semi-analytic model reduction for drive cycle analysis. In: New Trends in Computational Engineering, Lecture Notes in Computational Science and Engineering, 17–36. Springer. ISBN: 978-3-032-16252-6, DOI: 10.1007/978-3-032-16253-3_2, ARXIV: 2501.18200. [In Proceedings]

Balian, Devin ; Schöps, Sebastian ; Merkel, Melina (2026): Subdivision-based isogeometric analysis for axisymmetric electromagnetic problems. Cornell University, ARXIV: 2606.13308. [Preprint].

Backmeyer, Merle ; D'Angelo, Laura A. M. ; Ramdane, Brahim ; Schöps, Sebastian (2026): A reduced magnetic vector potential approach with higher-order splines. In: IEEE Transactions on Magnetics, ISSN: 0018-9464, DOI: 10.1109/TMAG.2026.3716008, ARXIV: 2602.22997, accepted. [Article]

Altmann, Robert ; Cortes Garcia, Idoia ; Paakkunainen, Elias ; Schulze, Philipp ; Schöps, Sebastian (2026): Energy-based modeling for field-circuit coupling. In: Applied Mathematical Modelling, pp. 116688, ISSN: 0307-904X, DOI: 10.1016/j.apm.2025.116688, ARXIV: 2504.13036. [Article]