Fuhrländer, Mona ; Schöps, Sebastian (2022):
Hermite-type modifications of BOBYQA for optimization with some partial derivatives.
Cornell University, ARXIV: 2204.05022.
[Preprint].

Fuhrländer, Mona ; Schöps, Sebastian (2022):
Efficient yield optimization with limited gradient information.
In: Progress in Industrial Mathematics at ECMI 2021, Mathematics in Industry. Springer. ARXIV: 2105.07799, forthcoming.
[In Proceedings]

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, DOI: 10.5194/ars-19-1-2021, ARXIV: 2010.04028.
[Article]

Georg, Niklas ; Römer, Ulrich (2020):
Conformally Mapped Polynomial Chaos Expansions for Maxwell's Source Problem with Random Input Data.
In: International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, pp. 1–15, ISSN: 0894-3370, DOI: 10.1002/jnm.2776, ARXIV: 2005.05152.
[Article]

Georg, Niklas ; Loukrezis, Dimitrios ; Römer, Ulrich ; Schöps, Sebastian (2020):
Enhanced adaptive surrogate models with applications in uncertainty quantification for nanoplasmonics.
In: International Journal for Uncertainty Quantification, 10, (2), pp. 165–193, ISSN: 2152-5080, DOI: 10.1615/Int.J.UncertaintyQuantification.2020031727, ARXIV: 1807.07485.
[Article]

Fuhrländer, Mona ; Schöps, Sebastian (2020):
A Blackbox Yield Estimation Workflow with Gaussian Process Regression for Industrial Problems.
In: Journal of Mathematics in Industry, ISSN: 2190-5983, DOI: 10.1186/s13362-020-00093-1, ARXIV: 2003.13278.
[Article]

Fuhrländer, Mona ; Georg, Niklas ; Römer, Ulrich ; Schöps, Sebastian (2020):
Yield Optimization Based on Adaptive Newton-Monte Carlo and Polynomial Surrogates.
In: International Journal for Uncertainty Quantification, 10, (4), pp. 351–373, ISSN: 2152-5080, DOI: 10.1615/Int.J.UncertaintyQuantification.2020033344, ARXIV: 1912.09908.
[Article]

D'Angelo, Laura ; Bontinck, Zeger ; Schöps, Sebastian ; De Gersem, Herbert (2020):
Robust Optimization of a Permanent Magnet Synchronous Machine Considering Uncertain Driving Cycles.
In: NAFEMS – Zeitschrift für numerische Simulationsmethoden und angrenzende Gebiete, pp. 71–80, ISSN: 2311-522X.
[Article]

D'Angelo, Laura ; Bontinck, Zeger ; Schöps, Sebastian ; De Gersem, Herbert (2020):
Robust Optimization of a Permanent Magnet Synchronous Machine Considering Uncertain Driving Cycles.
In: IEEE Transactions on Magnetics, 56, (2), pp. 1–5, ISSN: 0018-9464, DOI: 10.1109/TMAG.2019.2952218, ARXIV: 1907.06404.
[Article]

Yue, Yao ; Feng, Lihong ; Benner, Peter ; Pulch, Roland ; Schöps, Sebastian. Reduced Models and Uncertainty Quantification. In Nanoelectronic Coupled Problems Solutions, volume 29 of Mathematics in Industry, chapter 15, pages 329–346. Springer, 2019.
[In Collection]

Schöps, Sebastian ; Duque, David José ; De Gersem, Herbert ; Bartel, Andreas ; Günther, Michael ; Pulch, Roland. Non-Intrusive Methods for the Cosimulation of Coupled Problems. In Nanoelectronic Coupled Problems Solutions, volume 29 of Mathematics in Industry, chapter 7, pages 131–159. Springer, 2019.
[In Collection]

Pulch, Roland ; Schöps, Sebastian (2019):
Sparse Representations for Uncertainty Quantification of a Coupled Field-Circuit Problem.
In: Progress in Industrial Mathematics at ECMI 2018, volume 30 of The European Consortium for Mathematics in Industry. Springer. ISBN: 9783030275495, DOI: 10.1007/978-3-030-27550-1_2, ARXIV: 1809.06195.
[In Proceedings]

Krimm, Alexander ; Casper, Thorben ; Schöps, Sebastian ; De Gersem, Herbert ; Chamoin, Ludovic (2019):
Proper Generalized Decomposition of Parameterized Electrothermal Problems Discretized by the Finite Integration Technique.
In: IEEE Transactions on Magnetics, 55, (6), pp. 7204404, ISSN: 0018-9464, DOI: 10.1109/TMAG.2019.2907223, ARXIV: 1812.06867.
[Article]

Jankoski, Radoslav ; Römer, Ulrich ; Schöps, Sebastian (2019):
Stochastic modeling of magnetic hysteretic properties by using multivariate random fields.
In: International Journal for Uncertainty Quantification, 9, (1), pp. 85–102, ISSN: 2152-5080, DOI: 10.1615/Int.J.UncertaintyQuantification.2019025638.
[Article]

Georg, Niklas ; Ackermann, Wolfgang ; Corno, Jacopo ; Schöps, Sebastian (2019):
Uncertainty quantification for Maxwell’s eigenproblem using isogeometric analysis and mode tracking.
In: Computer Methods in Applied Mechanics and Engineering, 350, pp. 228–244, ISSN: 0045-7825, DOI: 10.1016/j.cma.2019.03.002, ARXIV: 1802.02978.
[Article]

Galetzka, Armin ; Bontinck, Zeger ; Römer, Ulrich ; Schöps, Sebastian (2019):
A multilevel Monte Carlo method for high-dimensional uncertainty quantification of low-frequency electromagnetic devices.
In: IEEE Transactions on Magnetics, 55, (8), pp. 1–12, ISSN: 0018-9464, DOI: 10.1109/TMAG.2019.2911053, ARXIV: 1803.09122.
[Article]

Duque, David José ; Casper, Thorben ; Schöps, Sebastian ; De Gersem, Herbert ; Römer, Ulrich ; Gillon, Renaud ; Wieers, Aarnout ; Kratochvíl, Tomáš ; Götthans, Tomáš ; Meuris, Peter. Bond Wire Models. In Nanoelectronic Coupled Problems Solutions, volume 29 of Mathematics in Industry, chapter 3, pages 46–68. Springer, 2019.
[In Collection]

Loukrezis, Dimitrios ; Römer, Ulrich ; Casper, Thorben ; Schöps, Sebastian ; De Gersem, Herbert (2018):
High Dimensional Uncertainty Quantification for an Electrothermal Field Problem using Stochastic Collocation on Sparse Grids and Tensor Train Decomposition.
In: International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 31, (2), pp. e2222, ISSN: 0894-3370, DOI: 10.1002/jnm.2222, ARXIV: 1610.03863.
[Article]

Ion, Ion Gabriel ; Bontinck, Zeger ; Loukrezis, Dimitrios ; Römer, Ulrich ; Lass, Oliver ; Ulbrich, Stefan ; Schöps, Sebastian ; De Gersem, Herbert (2018):
Robust Shape Optimization of Electric Devices Based on Deterministic Optimization Methods and Finite Element Analysis With Affine Decomposition and Design Elements.
In: Electrical Engineering (Archiv für Elektrotechnik), 100, (4), pp. 2635–2647, ISSN: 1432-0487, DOI: 10.1007/s00202-018-0716-6, ARXIV: 1805.07060.
[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]

Römer, Ulrich ; Schmidt, Christian ; van Rienen, Ursula ; Schöps, Sebastian (2017):
Low-Dimensional Stochastic Modeling of the Electrical Properties of Biological Tissues.
In: IEEE Transactions on Magnetics, 53, (6), pp. 1–4, ISSN: 0018-9464, DOI: 10.1109/TMAG.2017.2668841, ARXIV: 1611.07403.
[Article]

Pulch, Roland ; Bartel, Andreas ; Schöps, Sebastian (2017):
Quadrature Methods with Adjusted Grids for Stochastic Models of Coupled Problems.
In: Progress in Industrial Mathematics at ECMI 2014, volume 22 of The European Consortium for Mathematics in Industry. Springer. ISBN: 978-3-319-23413-7, DOI: 10.1007/978-3-319-23413-7.
[In Proceedings]

Jankoski, Radoslav ; Römer, Ulrich ; Schöps, Sebastian (2017):
Modeling of Spatial Uncertainties in the Magnetic Reluctivity.
In: COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 36, (4), pp. 1151–1167, ISSN: 0332-1649, DOI: 10.1108/COMPEL-10-2016-0438, ARXIV: 1610.02796.
[Article]

Galetzka, Armin ; Bontinck, Zeger ; Römer, Ulrich ; Schöps, Sebastian (2017):
Multilevel Monte Carlo Simulation of the Eddy Current Problem With Random Parameters.
In: 2017 International Applied Computational Electromagnetics Society (ACES) Symposium. IEEE. ISBN: 978-1-5090-5335-3, DOI: 10.23919/ROPACES.2017.7916062, ARXIV: 1705.08173.
[In Proceedings]

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]

ter Maten, E. Jan W. ; Putek, Piotr A. ; Günther, Michael ; Pulch, Roland ; Tischendorf, Caren ; Strohm, Christian ; Schoenmaker, Wim ; Meuris, Peter ; De Smedt, Bart ; Benner, Peter ; Feng, Lihong ; Banagaaya, Nicodemus ; Yue, Yao ; Janssen, Rick ; Dohmen, Jos J. ; Tasic, Bratislav ; Deleu, Frederik ; Gillon, Renaud ; Wieers, Renaud ; Brachtendorf, Hans Georg ; Bittner, Kai ; Kratochvíl, Tomás ; Petrzela, Jirí ; Sotner, Roman ; Göthans, Tomás ; Drínovský, Jirí ; Schöps, Sebastian ; Duque, David José ; Casper, Thorben ; De Gersem, Herbert ; Römer, Ulrich ; Reynier, Pascal ; Barroul, Patrice ; Masliah, Denis ; Rousseau, Benoît (2016):
Nanoelectronic COupled Problems Solutions - nanoCOPS: Modelling, Multirate, Model Order Reduction, Uncertainty Quantification, Fast Fault Simulation.
In: Journal of Mathematics in Industry, ISSN: 2190-5983, DOI: 10.1186/s13362-016-0025-5.
[Article]

Römer, Ulrich ; Schmidt, Christian ; van Rienen, Ursula ; Schöps, Sebastian (2016):
Low-Dimensional Stochastic Modeling of the Electrical Properties of Biological Tissues.
In: Proceedings of 17th Biennial IEEE Conference on Electromagnetic Field Computation (CEFC 2016). ISBN: 978-1-5090-1032-5, DOI: 10.1109/CEFC.2016.7816321, URL: http://cefc2016.org, Digest.
[In Proceedings]

Römer, Ulrich ; Schöps, Sebastian ; Weiland, Thomas (2016):
Stochastic Modeling and Regularity of the Nonlinear Elliptic curl-curl Equation.
In: SIAM/ASA Journal on Uncertainty Quantification, 4, pp. 952–979, ISSN: 2166-2525, DOI: 10.1137/15M1026535, ARXIV: 1606.07643.
[Article]

Jankoski, Radoslav ; Römer, Ulrich ; Schöps, Sebastian (2016):
Stochastic Modeling of an Inhomogeneous Magnetic Reluctivity Using the Karhunen-Loève Expansion and the Hierarchical Matrix Technique.
In: XXIV Symposium Electromagnetic Phenomena in Nonlinear Circuits – Proceedings EPNC 2016. Poznań, PTETiS Publishers. ISBN: 9788362712045.
[In Proceedings]

Casper, Thorben ; Römer, Ulrich ; Schöps, Sebastian (2016):
Determination of Bond Wire Failure Probabilities in Microelectronic Packages.
In: 22nd International Workshop on Thermal Investigations of ICs and Systems (THERMINIC 2016), 39–44. IEEE. ISBN: 978-1-5090-5450-3, DOI: 10.1109/THERMINIC.2016.7748645, ARXIV: 1609.06187.
[In Proceedings]

Casper, Thorben ; De Gersem, Herbert ; Gillon, Renaud ; Götthans, Tomáš ; Kratochvíl, Tomáš ; Meuris, Peter ; Schöps, Sebastian (2016):
Electrothermal Simulation of Bonding Wire Degradation under Uncertain Geometries.
In: Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1297–1302. IEEE. ISBN: 978-3-9815370-6-2, URL: http://www.date-conference.com, ARXIV: 1610.04303.
[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]

Römer, Ulrich ; Schöps, Sebastian (2015):
Adjoint Error Estimation for a Pseudo-Spectral Approach to Stochastic Field-Circuit Coupled Problems.
In: Proceedings in Applied Mathematics and Mechanics, volume 15, 711–714. Wiley. DOI: 10.1002/pamm.201510345.
[In Proceedings]

Römer, Ulrich ; Schöps, Sebastian ; De Gersem, Herbert (2015):
An Adjoint Approach for Uncertainty Quantification of Magnetoquasistatic Field Problems.
In: Proceedings of the International Conference on Electromagnetics in Advanced Applications (ICEAA) 2015, 887–890. IEEE. ISBN: 978-1-4799-7805-2, DOI: 10.1109/ICEAA.2015.7297241.
[In Proceedings]

Römer, Ulrich ; Casper, Thorben ; Pulch, Roland ; ter Maten, E. Jan W. (2015):
Algorithm for computation of failure probabilities and ageing effects.
nanoCOPS FP7-ICT-2013-11/619166, D2.6.
[Report].

Pulch, Roland ; Putek, Piotr ; Schöps, Sebastian ; Yue, Yao ; ter Maten, E. Jan W. (2015):
Algorithm using Polynomial Chaos and reduced-order models in co-simulation of coupled problems with random parameters.
nanoCOPS FP7-ICT-2013-11/619166, D2.5.
[Report].

Dölz, Jürgen ; Harbrecht, Helmut ; Peters, Michael (2015):
$\mathcal H$-matrix accelerated second moment analysis for potentials with rough correlation.
In: Journal of Scientific Computing, 65, (1), pp. 387–410.
[Article]

Corno, Jacopo ; de Falco, Carlo ; De Gersem, Herbert ; Schöps, Sebastian (2015):
Isogeometric Analysis Simulation of TESLA Cavities Under Uncertainty.
In: Proceedings of the International Conference on Electromagnetics in Advanced Applications (ICEAA) 2015, 1508–1511. IEEE. ISBN: 978-1-4799-7805-2, DOI: 10.1109/ICEAA.2015.7297375, ARXIV: 1711.01828.
[In Proceedings]

Römer, Ulrich ; Schöps, Sebastian ; Weiland, Thomas (2014):
Approximation of Moments for the Nonlinear Magnetoquasistatics Problem with Material Uncertainties.
In: IEEE Transactions on Magnetics, 50, (2), pp. 417–420, ISSN: 0018-9464, DOI: 10.1109/TMAG.2013.2284637.
[Article]

Bontinck, Zeger ; De Gersem, Herbert ; Schöps, Sebastian (2014):
Uncertainty Quantification of the Eccentricity of Permanent Magnetic Synchronous Machines.
In: XXIII Symposium Electromagnetic Phenomena in Nonlinear Circuits – Proceedings EPNC 2014. PTETiS Publishers. ISBN: 978-83-62712-00-7.
[In Proceedings]

Bartel, Andreas ; De Gersem, Herbert ; Hülsmann, Timo ; Römer, Ulrich ; Schöps, Sebastian ; Weiland, Thomas (2013):
Quantification of Uncertainty in the Field Quality of Magnets Originating from Material Measurements.
In: IEEE Transactions on Magnetics, 49, (5), pp. 2367–2370, ISSN: 0018-9464, DOI: 10.1109/TMAG.2013.2241041.
[Article]