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<!DOCTYPE html>
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<title>Project d01</title>
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<h1>2026</h1><!--Partovizadeh_2026aa-->
<p style="margin-bottom: 0.2em"><strong>Partovizadeh, Aylar ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Schöps, Sebastian</a> ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a></strong>
(2026):
<em>Multivariate Sensitivity Analysis of Electric Machine Efficiency Maps and Profiles Under Design Uncertainty.</em>
In: <span class="bibtex-protected">IEEE</span> Transactions on Energy Conversion, ISSN: 0885-8969, DOI: <a class="link" href="https://doi.org/10.1109/TEC.2026.3687758" target="_top">10.1109/TEC.2026.3687758</a>, ARXIV: <a class="link" href="https://arxiv.org/abs/2511.17099" target="_top">2511.17099</a>.
[Article]</p>
<h1>2025</h1><!--Backmeyer_2025aa-->
<p style="margin-bottom: 0.2em"><strong>Backmeyer, Merle ; Wiesheu, Michael ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Schöps, Sebastian</a></strong>
(2025):
<em>Learning electromagnetic fields based on finite element basis functions.</em>
In: <em>25th Conference on the Computation of Electromagnetic Fields (<span class="bibtex-protected">COMPUMAG</span> 2025)</em>, Naples. International Compumag Society.
URL: <a class="link" href="https://www.compumag2025.com" target="_top">https://www.compumag2025.com</a>.
[Poster]</p>
<!--Loukrezis_2025aa-->
<p style="margin-bottom: 0.2em"><strong><a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a> ; Diehl, Eric ; <a class="link" href="https://www.tugraz.at" target="_top">De Gersem, Herbert</a></strong>
(2025):
<em>Multivariate sensitivity-adaptive polynomial chaos expansion for high-dimensional surrogate modeling and uncertainty quantification.</em>
In: Applied Mathematical Modelling, pp. 115746, ISSN: 0307-904X, DOI: <a class="link" href="https://doi.org/10.1016/j.apm.2024.115746" target="_top">10.1016/j.apm.2024.115746</a>.
[Article]</p>
<!--Partovizadeh_2025aa-->
<p style="margin-bottom: 0.2em"><strong>Partovizadeh, Aylar ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Schöps, Sebastian</a> ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a></strong>
(2025):
<em><span class="bibtex-protected">Fourier</span>-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design.</em>
In: Engineering with Computers, ISSN: 0177-0667, DOI: <a class="link" href="https://doi.org/10.1007/s00366-025-02123-1" target="_top">10.1007/s00366-025-02123-1</a>, ARXIV: <a class="link" href="https://arxiv.org/abs/2412.06485" target="_top">2412.06485</a>.
[Article]</p>
<!--Partovizadeh_2025ab-->
<p style="margin-bottom: 0.2em"><strong>Partovizadeh, Aylar ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Schöps, Sebastian</a> ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a></strong>
(2025):
<em>Data-Driven Reduced Order Modeling Framework for Surrogate Modeling and Uncertainty Quantification in Electric Machine Design.</em>
In: <em>3rd <span class="bibtex-protected">IACM</span> Digital Twins in Engineering Conference (<span class="bibtex-protected">DTE</span> 2025) & 1st <span class="bibtex-protected">ECCOMAS</span> Artificial Intelligence and Computational Methods in Applied Science (<span class="bibtex-protected">AICOMAS</span> 2025)</em>, Paris.
[Talk]</p>
<!--Solimene_2025aa-->
<p style="margin-bottom: 0.2em"><strong>Solimene, Luigi ; Ferrari, Simone ; Torchio, Riccardo ; Anerdi, Costanza ; Freschi, Fabio ; Giaccone, Luca ; Lorenti, Gianmarco ; Lucchini, Francesco ; Mallios, Spyridon ; Lombard, Patrick ; Barba, Paolo Di ; Ghafoorinejad, Arash ; Mognaschi, Maria Evelina ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a> ; Diehl, Eric ; Museljic, Eniz ; Partovizadeh, Aylar ; <a class="link" href="https://www.tugraz.at" target="_top">Kaltenbacher, Manfred</a> ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Schöps, Sebastian</a> ; Park, Soo-Hwan ; Kim, Chan-Woo ; Lee, Ji-Hyeon ; Hwang, Younjae ; Park, Min-Ro ; Lim, Myung-Seop ; Toghranegar, Sina ; Sabariego, Ruth V ; Deconinck, Geert ; Kazmi, Hussain ; Gong, Zhi ; Tang, Zuqi ; Benabou, Abdelkader ; Verez, Guillaume ; Sharifi, Tohid ; Jamali-Fard, Ali ; Bilgili, Deniz ; Jelovica, Jasmin ; Manfredi, Paolo ; Trinchero, Riccardo ; Akbari, Amir ; Mahdiyounrad, Shahin ; Lowther, David A. ; Sun, Siyuan ; Koike-Akino, Toshiaki ; Wang, Ye ; Yamamoto, Tatsuya ; Sakamoto, Yusuke ; Wang, Bingnan ; Singh, Ankit Kumar ; Dey, Sagnik ; Mohanty, Swayambhu ; Pulikottil, Aditya Anil ; Saha, Asmijit ; Dalal, Ankit ; Sato, Yuki ; Sasaki, Hidenori ; Hiruma, Shingo ; Maruo, Akito ; Ivanoski, Elena Blazhevska ; Ipek, Eymen ; Koester, Niels ; Rahnamayan, Shahryar ; Alotto, Piergiorgio ; Pellegrino, Gianmario ; Repetto, Maurizio</strong>
(2025):
<em>The <span class="bibtex-protected">Galileo</span> <span class="bibtex-protected">Ferraris</span> Contest: A Benchmark Initiative for Data-Driven Multi-Physics Modeling of Traction Electric Motors.</em>
IEEE, DOI: <a class="link" href="https://doi.org/10.36227/techrxiv.176583445.54143509/v1" target="_top">10.36227/techrxiv.176583445.54143509/v1</a>.
[Preprint].</p>
<h1>2024</h1><!--Fleig_2024ab-->
<p style="margin-bottom: 0.2em"><strong>Fleig, Luisa ; Liebsch, Melvin ; Russenschuck, Stephan ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Schöps, Sebastian</a></strong>
(2024):
<em>Identification of B(H) curves using the Karhunen Loève Expansion.</em>
In: <span class="bibtex-protected">IEEE</span> Access, ISSN: 2169-3536, DOI: <a class="link" href="https://doi.org/10.1109/ACCESS.2024.3393348" target="_top">10.1109/ACCESS.2024.3393348</a>, ARXIV: <a class="link" href="https://arxiv.org/abs/2306.12872" target="_top">2306.12872</a>.
[Article]</p>
<!--Lippert_2024aa-->
<p style="margin-bottom: 0.2em"><strong>Lippert, Jonathan Rainer ; von Tresckow, Moritz ; <a class="link" href="https://www.tugraz.at" target="_top">De Gersem, Herbert</a> ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a></strong>
(2024):
<em>Transfer learning-based physics-informed neural networks for magnetostatic field simulation with domain variations.</em>
In: International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 37(4), ISSN: 0894-3370, DOI: <a class="link" href="https://doi.org/10.1002/jnm.3264" target="_top">10.1002/jnm.3264</a>.
[Article]</p>
<!--Partovizadeh_2024ab-->
<p style="margin-bottom: 0.2em"><strong>Partovizadeh, Aylar ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Schöps, Sebastian</a> ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a></strong>
(2024):
<em><span class="bibtex-protected">Fourier</span> Transform-Based Surrogate Modelling for High-dimensional Electric Machine Key Performance Indicators.</em>
In: <em><span class="bibtex-protected">SIAM</span> Conference on Uncertainty Quantification 2024</em>, Trieste.
URL: <a class="link" href="https://www.siam.org/conferences-events/past-event-archive/uq24/" target="_top">https://www.siam.org/conferences-events/past-event-archive/uq24/</a>.
[Talk]</p>
<!--Ziegler_2024af-->
<p style="margin-bottom: 0.2em"><strong>Ebert, David ; Ziegler, Anna ; Dölz, Jürgen ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Schöps, Sebastian</a></strong>
(2024):
<em>Shape Derivative-Based Uncertainty Quantification Applied to the Misaligned <span class="bibtex-protected">TESLA</span> Cavity.</em>
In: <em>Workshop on Advances in Electromagnetic Research – <span class="bibtex-protected">KWT</span> 2024</em>, Riezlern.
URL: <a class="link" href="http://maxwell-in-motion.org" target="_top">http://maxwell-in-motion.org</a>.
[Poster]</p>
<!--von-Tresckow_2024aa-->
<p style="margin-bottom: 0.2em"><strong>von Tresckow, Moritz ; <a class="link" href="https://www.tugraz.at" target="_top">De Gersem, Herbert</a> ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a></strong>
(2024):
<em>Error approximation and bias correction in dynamic problems using a recurrent neural network/finite element hybrid model.</em>
In: Applied Mathematical Modelling, pp. 428–447, ISSN: 0307-904X, DOI: <a class="link" href="https://doi.org/10.1016/j.apm.2024.02.004" target="_top">10.1016/j.apm.2024.02.004</a>, ARXIV: <a class="link" href="https://arxiv.org/abs/2307.02349" target="_top">2307.02349</a>.
[Article]</p>
<!--von-Tresckow_2024ac-->
<p style="margin-bottom: 0.2em"><strong>von Tresckow, Moritz ; <a class="link" href="https://www.tugraz.at" target="_top">De Gersem, Herbert</a> ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a></strong>
(2024):
<em>Bias-corrected eddy-current simulation using a recurrent-neural-net / finite-element hybrid model.</em>
In: <em><span class="bibtex-protected">XXVIII</span> Symposium Electromagnetic Phenomena in Nonlinear Circuits (<span class="bibtex-protected">EPNC</span> 2024)</em>, Portorož.
URL: <a class="link" href="https://epnc.put.poznan.pl" target="_top">https://epnc.put.poznan.pl</a>.
[Poster]</p>
<!--von-Tresckow_2024ad-->
<p style="margin-bottom: 0.2em"><strong>von Tresckow, Moritz ; <a class="link" href="https://www.tugraz.at" target="_top">De Gersem, Herbert</a> ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a></strong>
(2024):
<em>Multi-fidelity finite-element simulation of transient eddy-current problems with a bias correction on the basis of a recurrent neural network.</em>
In: <em>10th European Conference on Numerical Methods in Electromagnetism (<span class="bibtex-protected">NUMELEC</span> 2024)</em>, Toulouse.
URL: <a class="link" href="https://numelec2024.sciencesconf.org" target="_top">https://numelec2024.sciencesconf.org</a>.
[Talk]</p>
<h1>2023</h1><!--Diehl_2023aa-->
<p style="margin-bottom: 0.2em"><strong>Diehl, Eric ; von Tresckow, Moritz ; Scholtissek, Lou ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a> ; Marsic, Nicolas ; Müller, Wolfgang F. O. ; <a class="link" href="https://www.tugraz.at" target="_top">De Gersem, Herbert</a></strong>
(2023):
<em>Quadrupole magnet design based on genetic multi-objective optimization.</em>
In: Electrical Engineering (Archiv für Elektrotechnik) 106(2), pp. 1179–1189, ISSN: 1432-0487, DOI: <a class="link" href="https://doi.org/10.1007/s00202-023-02132-7" target="_top">10.1007/s00202-023-02132-7</a>, ARXIV: <a class="link" href="https://arxiv.org/abs/2211.09580" target="_top">2211.09580</a>.
[Article]</p>
<!--Galetzka_2023aa-->
<p style="margin-bottom: 0.2em"><strong>Galetzka, Armin ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a> ; Georg, Niklas ; <a class="link" href="https://www.tugraz.at" target="_top">De Gersem, Herbert</a> ; Römer, Ulrich</strong>
(2023):
<em>An $hp$-adaptive multi-element stochastic collocation method for surrogate modeling with information re-use.</em>
In: International Journal for Numerical Methods in Engineering 124(12), pp. 2902–2930, ISSN: 0029-5981, DOI: <a class="link" href="https://doi.org/10.1002/nme.7234" target="_top">10.1002/nme.7234</a>.
[Article]</p>
<!--Parekh_2023aa-->
<p style="margin-bottom: 0.2em"><strong>Parekh, Vivek ; Flore, Dominik ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Schöps, Sebastian</a></strong>
(2023):
<em>Performance Analysis of Electrical Machines Using a Hybrid Data- and Physics-Driven Model.</em>
In: <span class="bibtex-protected">IEEE</span> Transactions on Energy Conversion 38(1), ISSN: 0885-8969, DOI: <a class="link" href="https://doi.org/10.1109/TEC.2022.3209103" target="_top">10.1109/TEC.2022.3209103</a>, ARXIV: <a class="link" href="https://arxiv.org/abs/2201.09603" target="_top">2201.09603</a>.
[Article]</p>
<h1>2022</h1><!--Huber_2023aa-->
<p style="margin-bottom: 0.2em"><strong>Huber, Morten ; Fuhrländer, Mona ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Schöps, Sebastian</a></strong>
(2022):
<em>Multi-Objective Yield Optimization for Electrical Machines using <span class="bibtex-protected">Gaussian</span> Processes to Learn Faulty Designs.</em>
In: <span class="bibtex-protected">IEEE</span> Transactions on Industry Applications 59(2), pp. 1340–1350, ISSN: 0093-9994, DOI: <a class="link" href="https://doi.org/10.1109/TIA.2022.3211250" target="_top">10.1109/TIA.2022.3211250</a>, ARXIV: <a class="link" href="https://arxiv.org/abs/2204.04986" target="_top">2204.04986</a>.
[Article]</p>
<!--Ion_2022aa-->
<p style="margin-bottom: 0.2em"><strong>Ion, Ion Gabriel ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a> ; <a class="link" href="https://www.tugraz.at" target="_top">De Gersem, Herbert</a></strong>
(2022):
<em>Tensor train based isogeometric analysis for <span class="bibtex-protected">PDE</span> approximation on parameter dependent geometries.</em>
In: Computer Methods in Applied Mechanics and Engineering 401(B), pp. 115593, ISSN: 0045-7825, DOI: <a class="link" href="https://doi.org/10.1016/j.cma.2022.115593" target="_top">10.1016/j.cma.2022.115593</a>, ARXIV: <a class="link" href="https://arxiv.org/abs/2204.02843" target="_top">2204.02843</a>.
[Article]</p>
<!--Loukrezis_2022aa-->
<p style="margin-bottom: 0.2em"><strong><a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a> ; <a class="link" href="https://www.tugraz.at" target="_top">De Gersem, Herbert</a></strong>
(2022):
<em>Power module heat sink design optimization with data-driven polynomial chaos surrogate models.</em>
In: e-Prime – Advances in Electrical Engineering, Electronics and Energy, pp. 100059, ISSN: 2772-6711, DOI: <a class="link" href="https://doi.org/10.1016/j.prime.2022.100059" target="_top">10.1016/j.prime.2022.100059</a>.
[Article]</p>
<!--von-Tresckow_2022aa-->
<p style="margin-bottom: 0.2em"><strong>von Tresckow, Moritz ; Kurz, Stefan ; <a class="link" href="https://www.tugraz.at" target="_top">De Gersem, Herbert</a> ; <a class="link" href="https://www.tu-darmstadt.de" target="_top">Loukrezis, Dimitrios</a></strong>
(2022):
<em>A neural solver for variational problems on <span class="bibtex-protected">CAD</span> geometries with application to electric machine simulation.</em>
In: Journal of Machine Learning for Modeling and Computing 3(1), pp. 49–75, ISSN: 2689-3967, DOI: <a class="link" href="https://doi.org/10.1615/JMachLearnModelComput.2022041753" target="_top">10.1615/JMachLearnModelComput.2022041753</a>, ARXIV: <a class="link" href="https://arxiv.org/abs/2111.09005" target="_top">2111.09005</a>.
[Article]</p>
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