@article{AbouHamdanJanaColometal.2026, author = {Abou Hamdan, Loubnan and Jana, Aloke and Colom, R{\´e}mi and Aboujoussef, Nour and Carlson, Cooper and Overvig, Adam and Binkowski, Felix and Burger, Sven and Genevet, Patrice}, title = {A Complex-Frequency Framework for Kerker Unidirectionality in Photonic Resonators}, doi = {10.21203/rs.3.rs-8444305/v1}, year = {2026}, language = {en} } @article{AbdelRelleKirchartzetal.2026, author = {Abdel, Dilara and Relle, Jacob and Kirchartz, Thomas and Jaap, Patrick and Fuhrmann, J{\"u}rgen and Burger, Sven and Becker, Christiane and J{\"a}ger, Klaus and Farrell, Patricio}, title = {How nanotextured interfaces influence the electronics in perovskite solar cells}, journal = {EES Sol.}, arxiv = {http://arxiv.org/abs/2506.10691}, doi = {10.1039/D5EL00208G}, year = {2026}, language = {en} } @article{SekulicSchaibleMuelleretal.2025, author = {Sekulic, Ivan and Schaible, Jonas and M{\"u}ller, Gabriel and Plock, Matthias and Burger, Sven and Mart{\´i}nez-Lahuerta, V{\´i}ctor Jos{\´e} and Gaaloul, Naceur and Schneider, Philipp-Immanuel}, title = {Physics-informed Bayesian optimization of expensive-to-evaluate black-box functions}, volume = {6}, journal = {Mach. Learn. Sci. Technol.}, publisher = {IOP Publishing}, doi = {10.1088/2632-2153/ae1f5f}, pages = {040503}, year = {2025}, abstract = {Abstract Bayesian optimization with Gaussian process surrogates is a popular approach for optimizing expensive-to-evaluate functions in terms of time, energy, or computational resources. Typically, a Gaussian process models a scalar objective derived from observed data. However, in many real-world applications, the objective is a combination of multiple outputs from physical experiments or simulations. Converting these multidimensional observations into a single scalar can lead to information loss, slowing convergence and yielding suboptimal results. To address this, we propose to use multi-output Gaussian processes to learn the full vector of observations directly, before mapping them to the scalar objective via an inexpensive analytical function. This physics-informed approach retains more information from the underlying physical processes, improving surrogate model accuracy. As a result, the approach accelerates optimization and produces better final designs compared to standard implementations.}, language = {en} } @inproceedings{ZschiedrichBetzBinkowskietal.2025, author = {Zschiedrich, Lin and Betz, Fridtjof and Binkowski, Felix and Kuen, Lilli and Hammerschmidt, Martin and Burger, Sven}, title = {Efficient Photonic Component Analysis via AAA Rational Approximation}, booktitle = {2025 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD)}, doi = {10.1109/NUSOD64393.2025.11199710}, pages = {115 -- 116}, year = {2025}, language = {en} } @misc{SekulicSchaibleMuelleretal.2025, author = {Sekulic, Ivan and Schaible, Jonas and M{\"u}ller, Gabriel and Plock, Matthias and Burger, Sven and Martinez-Lahuerta, Victor J. and Gaaloul, Naceur and Schneider, Philipp-Immanuel}, title = {Data publication for Physics-informed Bayesian optimization of expensive-to-evaluate black-box functions}, journal = {Zenodo}, doi = {10.5281/zenodo.16751507}, year = {2025}, language = {en} } @misc{BetzBinkowskiFischbachetal.2025, author = {Betz, Fridtjof and Binkowski, Felix and Fischbach, Jan David and Feldman, Nick and Zschiedrich, Lin and Rockstuhl, Carsten and Koenderink, A. Femius and Burger, Sven}, title = {Uncovering Hidden Resonances in Non-Hermitian Systems with Scattering Thresholds (Laser Photonics Rev. 19(21)/2025)}, volume = {19}, journal = {Laser Photonics Rev.}, number = {21}, doi = {10.1002/lpor.70534}, pages = {e70534}, year = {2025}, language = {en} } @article{MuellerMartinezLahuertaSekulicetal.2025, author = {M{\"u}ller, Gabriel and Mart{\´i}nez-Lahuerta, Victor J. and Sekulic, Ivan and Burger, Sven and Schneider, Philipp-Immanuel and Gaaloul, Naceur}, title = {Bayesian optimization for state engineering of quantum gases}, volume = {10}, journal = {Quantum Sci. Technol.}, arxiv = {http://arxiv.org/abs/2404.18234}, doi = {10.1088/2058-9565/ad9050}, pages = {015033}, year = {2025}, language = {en} } @article{SchaibleWinartoŠkorjancetal.2025, author = {Schaible, Jonas and Winarto, Hanifah and Škorjanc, Viktor and Yoo, Danbi and Zimmermann, Lea and J{\"a}ger, Klaus and Sekulic, Ivan and Schneider, Philipp-Immanuel and Burger, Sven and Wessels, Andreas and Bl{\"a}si, Benedikt and Becker, Christiane}, title = {Optimizing Aesthetic Appearance of Perovskite Solar Cells Using Color Filters}, volume = {9}, journal = {Solar RRL}, publisher = {Wiley}, doi = {10.1002/solr.202400627}, pages = {2400627}, year = {2025}, abstract = {The significance of color aesthetics in photovoltaic (PV) modules gains importance, especially in design-centric applications like building-integrated PVs. Color filters based on distributed Bragg reflectors, consisting of alternating thin-film layers of different refractive indices, can modify the appearance of standard silicon modules. This approach is also extended to optimize the color appearance of emerging PV technologies such as perovskite solar cells, which typically exhibit a less appealing gray-brownish appearance. In this contribution, perovskite solar-cell stacks combined with MorphoColor color filters are presented. Angular-resolved reflectance simulations based on wave optics and ray tracing with experimental data are validated, and the color appearance from various viewing angles is evaluated. Additionally, the impact of individual layers on color appearance and the maximum achievable short-circuit current density in the perovskite solar cell is investigated. By applying Bayesian optimization, the color distance is minimized to the targeted appearance. Tailoring the bridging layers between the color filter and the perovskite solar cell is found to strongly influence the color impression due to the coherently combined color filter and perovskite solar cell. The presented color optimization concept allows to customize the aesthetics of emerging PV thin-film technologies such as perovskite solar cells.}, language = {en} } @article{FischbachBetzAsadovaetal.2025, author = {Fischbach, Jan David and Betz, Fridtjof and Asadova, Nigar and Tassan, Pietro and Urbonas, Darius and St{\"o}ferle, Thilo and Mahrt, Rainer F. and Burger, Sven and Rockstuhl, Carsten and Binkowski, Felix and Sturges, Thomas Jebb}, title = {A framework to compute resonances arising from multiple scattering}, volume = {8}, journal = {Adv. Theory Simul.}, arxiv = {http://arxiv.org/abs/2409.05563}, doi = {10.1002/adts.202400989}, pages = {2400989}, year = {2025}, language = {en} } @article{AsadovaAchouriArjasetal.2025, author = {Asadova, Nigar and Achouri, Karim and Arjas, Kristian and Ajugui{\´e}, Baptiste and Aydin, Roland and Baron, Alexandre and Beutel, Dominik and Bodermann, Bernd and Boussaoud, Kaoutar and Burger, Sven and Choi, Minseok and Czajkowski, Krzysztof and Evlyukhin, Andrey B. and Fazel-Najafabadi, Atefeh and Fernandez-Corbaton, Ivan and Garg, Puneet and Globosits, David and Hohenester, Ulrich and Kim, Hongyoon and Kim, Seokwoo and Lalanne, Philippe and Le Ru, Eric C. and Meyer, J{\"o}rg and Mun, Jungho and Patelli, Lorenzo and Pflug, Lukas and Rockstuhl, Carsten and Rho, Junsuk and Rotter, Stefan and Stout, Brian and T{\"o}rm{\"a}, P{\"a}ivi and Trigo, Jorge Olmos and Tristram, Frank and Tsitsas, Nikolaos L. and Vall{\´e}e, Renaud and Vynck, Kevin and Weiss, Thomas and Wiecha, Peter and Wriedt, Thomas and Yannopapas, Vassilios and Yurkin, Maxim A. and Zouros, Grigorios P.}, title = {T-matrix representation of optical scattering response: Suggestion for a data format}, volume = {333}, journal = {J. Quant. Spectrosc. Radiat. Transf.}, arxiv = {http://arxiv.org/abs/2408.10727}, doi = {10.1016/j.jqsrt.2024.109310}, pages = {109310}, year = {2025}, language = {en} }