TY - JOUR A1 - Abou Hamdan, Loubnan A1 - Jana, Aloke A1 - Colom, Rémi A1 - Aboujoussef, Nour A1 - Carlson, Cooper A1 - Overvig, Adam A1 - Binkowski, Felix A1 - Burger, Sven A1 - Genevet, Patrice T1 - A Complex-Frequency Framework for Kerker Unidirectionality in Photonic Resonators Y1 - 2026 U6 - https://doi.org/10.21203/rs.3.rs-8444305/v1 ER - TY - JOUR A1 - Abdel, Dilara A1 - Relle, Jacob A1 - Kirchartz, Thomas A1 - Jaap, Patrick A1 - Fuhrmann, Jürgen A1 - Burger, Sven A1 - Becker, Christiane A1 - Jäger, Klaus A1 - Farrell, Patricio T1 - How nanotextured interfaces influence the electronics in perovskite solar cells JF - EES Sol. Y1 - 2026 U6 - https://doi.org/10.1039/D5EL00208G ER - TY - JOUR A1 - Sekulic, Ivan A1 - Schaible, Jonas A1 - Müller, Gabriel A1 - Plock, Matthias A1 - Burger, Sven A1 - Martínez-Lahuerta, Víctor José A1 - Gaaloul, Naceur A1 - Schneider, Philipp-Immanuel T1 - Physics-informed Bayesian optimization of expensive-to-evaluate black-box functions JF - Mach. Learn. Sci. Technol. N2 - 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. Y1 - 2025 U6 - https://doi.org/10.1088/2632-2153/ae1f5f VL - 6 SP - 040503 PB - IOP Publishing ER - TY - CHAP A1 - Zschiedrich, Lin A1 - Betz, Fridtjof A1 - Binkowski, Felix A1 - Kuen, Lilli A1 - Hammerschmidt, Martin A1 - Burger, Sven T1 - Efficient Photonic Component Analysis via AAA Rational Approximation T2 - 2025 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD) Y1 - 2025 U6 - https://doi.org/10.1109/NUSOD64393.2025.11199710 SP - 115 EP - 116 ER - TY - GEN A1 - Sekulic, Ivan A1 - Schaible, Jonas A1 - Müller, Gabriel A1 - Plock, Matthias A1 - Burger, Sven A1 - Martinez-Lahuerta, Victor J. A1 - Gaaloul, Naceur A1 - Schneider, Philipp-Immanuel T1 - Data publication for Physics-informed Bayesian optimization of expensive-to-evaluate black-box functions T2 - Zenodo Y1 - 2025 U6 - https://doi.org/10.5281/zenodo.16751507 ER - TY - GEN A1 - Betz, Fridtjof A1 - Binkowski, Felix A1 - Fischbach, Jan David A1 - Feldman, Nick A1 - Zschiedrich, Lin A1 - Rockstuhl, Carsten A1 - Koenderink, A. Femius A1 - Burger, Sven T1 - Uncovering Hidden Resonances in Non-Hermitian Systems with Scattering Thresholds (Laser Photonics Rev. 19(21)/2025) T2 - Laser Photonics Rev. Y1 - 2025 U6 - https://doi.org/10.1002/lpor.70534 VL - 19 IS - 21 SP - e70534 ER - TY - JOUR A1 - Müller, Gabriel A1 - Martínez-Lahuerta, Victor J. A1 - Sekulic, Ivan A1 - Burger, Sven A1 - Schneider, Philipp-Immanuel A1 - Gaaloul, Naceur T1 - Bayesian optimization for state engineering of quantum gases JF - Quantum Sci. Technol. Y1 - 2025 U6 - https://doi.org/10.1088/2058-9565/ad9050 VL - 10 SP - 015033 ER - TY - JOUR A1 - Schaible, Jonas A1 - Winarto, Hanifah A1 - Škorjanc, Viktor A1 - Yoo, Danbi A1 - Zimmermann, Lea A1 - Jäger, Klaus A1 - Sekulic, Ivan A1 - Schneider, Philipp‐Immanuel A1 - Burger, Sven A1 - Wessels, Andreas A1 - Bläsi, Benedikt A1 - Becker, Christiane T1 - Optimizing Aesthetic Appearance of Perovskite Solar Cells Using Color Filters JF - Solar RRL N2 - 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. Y1 - 2025 U6 - https://doi.org/10.1002/solr.202400627 VL - 9 SP - 2400627 PB - Wiley ER - TY - JOUR A1 - Fischbach, Jan David A1 - Betz, Fridtjof A1 - Asadova, Nigar A1 - Tassan, Pietro A1 - Urbonas, Darius A1 - Stöferle, Thilo A1 - Mahrt, Rainer F. A1 - Burger, Sven A1 - Rockstuhl, Carsten A1 - Binkowski, Felix A1 - Sturges, Thomas Jebb T1 - A framework to compute resonances arising from multiple scattering JF - Adv. Theory Simul. Y1 - 2025 U6 - https://doi.org/10.1002/adts.202400989 VL - 8 SP - 2400989 ER - TY - JOUR A1 - Asadova, Nigar A1 - Achouri, Karim A1 - Arjas, Kristian A1 - Ajuguié, Baptiste A1 - Aydin, Roland A1 - Baron, Alexandre A1 - Beutel, Dominik A1 - Bodermann, Bernd A1 - Boussaoud, Kaoutar A1 - Burger, Sven A1 - Choi, Minseok A1 - Czajkowski, Krzysztof A1 - Evlyukhin, Andrey B. A1 - Fazel-Najafabadi, Atefeh A1 - Fernandez-Corbaton, Ivan A1 - Garg, Puneet A1 - Globosits, David A1 - Hohenester, Ulrich A1 - Kim, Hongyoon A1 - Kim, Seokwoo A1 - Lalanne, Philippe A1 - Le Ru, Eric C. A1 - Meyer, Jörg A1 - Mun, Jungho A1 - Patelli, Lorenzo A1 - Pflug, Lukas A1 - Rockstuhl, Carsten A1 - Rho, Junsuk A1 - Rotter, Stefan A1 - Stout, Brian A1 - Törmä, Päivi A1 - Trigo, Jorge Olmos A1 - Tristram, Frank A1 - Tsitsas, Nikolaos L. A1 - Vallée, Renaud A1 - Vynck, Kevin A1 - Weiss, Thomas A1 - Wiecha, Peter A1 - Wriedt, Thomas A1 - Yannopapas, Vassilios A1 - Yurkin, Maxim A. A1 - Zouros, Grigorios P. T1 - T-matrix representation of optical scattering response: Suggestion for a data format JF - J. Quant. Spectrosc. Radiat. Transf. Y1 - 2025 U6 - https://doi.org/10.1016/j.jqsrt.2024.109310 VL - 333 SP - 109310 ER -