@inproceedings{MusialZolnaczSrockaetal.2020, author = {Musial, Anna and Zolnacz, Kinga and Srocka, Nicole and Kravets, Oleh and Große, Jan and Schneider, Philipp-Immanuel and Olszewski, Jacek and Poturaj, Krzystof and Wojcik, Grzegorz and Mergo, Pawel and Dybka, Kamil and Dyrkacz, Mariusz and Dlubek, Michal and Rodt, Sven and Burger, Sven and Zschiedrich, Lin and Urbanczyk, Waclaw and Sek, Grzegorz and Reitzenstein, Stephan}, title = {Stand-alone quantum dot-based single-photon source operating at telecommunication wavelengths}, booktitle = {10th International Conference on Spontaneous Coherence in Excitonic Systems ICSCE10}, pages = {39}, year = {2020}, language = {en} } @article{FackeldeyGorgullaWeber2021, author = {Fackeldey, Konstantin and Gorgulla, Christoph and Weber, Marcus}, title = {Neue Medikamente dank Supercomputern}, journal = {Spektrum der Wissenschaft}, number = {11}, pages = {40 -- 46}, year = {2021}, abstract = {Die aktuelle Pandemie verdeutlicht, wie wichtig es ist, rasch geeignete Arzneimittel zu finden. In Computer­simulationen gelingt das erheblich schneller als im Labor. Gegen das Coronavirus ließen sich auf diese Weise bereits Wirkstoffkandidaten identifizieren.}, language = {de} } @article{StoutColomBonodetal.2021, author = {Stout, Brian and Colom, Remi and Bonod, Nicolas and McPhedran, Ross C}, title = {Spectral expansions of open and dispersive optical systems: Gaussian regularization and convergence}, volume = {23}, journal = {New J. Phys.}, doi = {10.1088/1367-2630/ac10a6}, pages = {083004}, year = {2021}, language = {en} } @inproceedings{BoppPlockTuranetal.2023, author = {Bopp, Julian M. and Plock, Matthias and Turan, Tim and Pieplow, Gregor and Burger, Sven and Schr{\"o}der, Tim}, title = {'Sawfish' Spin-Photon Interface for Near-Unity Emitter-to-Waveguide Coupling}, booktitle = {Conference on Lasers and Electro-Optics (CLEO)}, doi = {10.1364/CLEO_SI.2023.SF1O.6}, pages = {SF1O.6}, year = {2023}, language = {en} } @inproceedings{HammerschmidtZschiedrichSiaudinyteetal.2023, author = {Hammerschmidt, Martin and Zschiedrich, Lin and Siaudinyt{\´e}, Lauryna and Manley, Phillip and Schneider, Philipp-Immanuel and Burger, Sven}, title = {Forward simulation of coherent beams on grating structures for coherent scatterometry}, volume = {PC12619}, booktitle = {Proc. SPIE}, arxiv = {http://arxiv.org/abs/2309.06109}, doi = {10.1117/12.2673231}, pages = {PC1261907}, year = {2023}, language = {en} } @inproceedings{PlockBurgerSchneider2023, author = {Plock, Matthias and Burger, Sven and Schneider, Philipp-Immanuel}, title = {Efficient reconstruction of model parameters using Bayesian target-vector optimization}, volume = {PC12619}, booktitle = {Proc. SPIE}, doi = {10.1117/12.2673590}, pages = {PC1261905}, year = {2023}, language = {en} } @article{YooTillmannKraussetal.2023, author = {Yoo, Danbi and Tillmann, Peter and Krauss, Tobias and Sutter, Johannes and Harter, Angelika and Trofimov, Sergei and Naydenov, Boris and J{\"a}ger, Klaus and Hauser, Hubert and Becker, Christiane}, title = {Comparative Optical Analysis of Imprinted Nano-, Micro- and Biotextures on Solar Glasses for Increased Energy Yield}, volume = {7}, journal = {Solar RRL}, doi = {10.1002/solr.202300071}, pages = {2300071}, year = {2023}, language = {en} } @article{CerecedaLopezOstinatoOrtizAmbrizetal.2024, author = {Cereceda-L{\´o}pez, Eric and Ostinato, Mattia and Ortiz-Ambriz, Antonio and Straube, Arthur and Palassini, Matteo and Tierno, Pietro}, title = {Excluded volume induces buckling in optically driven colloidal rings}, volume = {6}, journal = {Phys. Rev. Research}, arxiv = {http://arxiv.org/abs/2312.14047}, doi = {10.1103/PhysRevResearch.6.L012044}, pages = {L012044}, year = {2024}, abstract = {In our combined experimental, theoretical and numerical work, we study the out of equilibrium deformations in a shrinking ring of optically trapped, interacting colloidal particles. Steerable optical tweezers are used to confine dielectric microparticles along a circle of discrete harmonic potential wells, and to reduce the ring radius at a controlled quench speed. We show that excluded-volume interactions are enough to induce particle sliding from their equilibrium positions and nonequilibrium zigzag roughening of the colloidal structure. Our work unveils the underlying mechanism of interfacial deformation in radially driven microscopic discrete rings.}, language = {en} } @article{NagelHeitzigSchoell2025, author = {Nagel, Soeren and Heitzig, Jobst and Schoell, Eckehard}, title = {Macroscopic Stochastic Model for Economic Cycle Dynamics}, volume = {134}, journal = {Physical Review Letters}, number = {4}, publisher = {American Physical Society}, arxiv = {http://arxiv.org/abs/2312.16708}, doi = {https://doi.org/10.1103/PhysRevLett.134.047402}, pages = {1 -- 6}, year = {2025}, abstract = {We present a stochastic dynamic model which can explain economic cycles. We show that the macroscopic description yields a complex dynamical landscape consisting of multiple stable fixed points, each corresponding to a split of the population into a large low and a small high income group. The stochastic fluctuations induce switching between the resulting metastable states and excitation oscillations just below a deterministic bifurcation. The shocks are caused by the decisions of a few agents who have a disproportionate influence over the macroscopic state of the economy due to the unequal distribution of wealth among the population. The fluctuations have a long-term effect on the growth of economic output and lead to business cycle oscillations exhibiting coherence resonance, where the correlation time is controlled by the population size which is inversely proportional to the noise intensity.}, language = {en} } @article{AntonHendersonDaRosetal.2024, author = {Anton, Oliver and Henderson, Victoria A. and Da Ros, Elisa and Sekulic, Ivan and Burger, Sven and Schneider, Philipp-Immanuel and Krutzik, Markus}, title = {Review and experimental benchmarking of machine learning algorithms for efficient optimization of cold atom experiments}, volume = {5}, journal = {Mach. Learn. Sci. Technol.}, arxiv = {http://arxiv.org/abs/2312.13397}, doi = {10.1088/2632-2153/ad3cb6}, pages = {025022}, year = {2024}, language = {en} } @article{SchimunekSeidlElezetal.2024, author = {Schimunek, Johannes and Seidl, Philipp and Elez, Katarina and Hempel, Tim and Le, Tuan and No{\´e}, Frank and Olsson, Simon and Raich, Llu{\´i}s and Winter, Robin and Gokcan, Hatice and Gusev, Filipp and Gutkin, Evgeny M. and Isayev, Olexandr and Kurnikova, Maria G. and Narangoda, Chamali H. and Zubatyuk, Roman and Bosko, Ivan P. and Furs, Konstantin V. and Karpenko, Anna D. and Kornoushenko, Yury V. and Shuldau, Mikita and Yushkevich, Artsemi and Benabderrahmane, Mohammed B. and Bousquet-Melou, Patrick and Bureau, Ronan and Charton, Beatrice and Cirou, Bertrand C. and Gil, G{\´e}rard and Allen, William J. and Sirimulla, Suman and Watowich, Stanley and Antonopoulos, Nick and Epitropakis, Nikolaos and Krasoulis, Agamemnon and Itsikalis, Vassilis and Theodorakis, Stavros and Kozlovskii, Igor and Maliutin, Anton and Medvedev, Alexander and Popov, Petr and Zaretckii, Mark and Eghbal-Zadeh, Hamid and Halmich, Christina and Hochreiter, Sepp and Mayr, Andreas and Ruch, Peter and Widrich, Michael and Berenger, Francois and Kumar, Ashutosh and Yamanishi, Yoshihiro and Zhang, Kam Y. J. and Bengio, Emmanuel and Bengio, Yoshua and Jain, Moksh J. and Korablyov, Maksym and Liu, Cheng-Hao and Marcou, Gilles and Glaab, Enrico and Barnsley, Kelly and Iyengar, Suhasini M. and Ondrechen, Mary Jo and Haupt, V. Joachim and Kaiser, Florian and Schroeder, Michael and Pugliese, Luisa and Albani, Simone and Athanasiou, Christina and Beccari, Andrea and Carloni, Paolo and D'Arrigo, Giulia and Gianquinto, Eleonora and Goßen, Jonas and Hanke, Anton and Joseph, Benjamin P. and Kokh, Daria B. and Kovachka, Sandra and Manelfi, Candida and Mukherjee, Goutam and Mu{\~n}iz-Chicharro, Abraham and Musiani, Francesco and Nunes-Alves, Ariane and Paiardi, Giulia and Rossetti, Giulia and Sadiq, S. Kashif and Spyrakis, Francesca and Talarico, Carmine and Tsengenes, Alexandros and Wade, Rebecca C. and Copeland, Conner and Gaiser, Jeremiah and Olson, Daniel R. and Roy, Amitava and Venkatraman, Vishwesh and Wheeler, Travis J. and Arthanari, Haribabu and Blaschitz, Klara and Cespugli, Marco and Durmaz, Vedat and Fackeldey, Konstantin and Fischer, Patrick D. and Gorgulla, Christoph and Gruber, Christian and Gruber, Karl and Hetmann, Michael and Kinney, Jamie E. and Padmanabha Das, Krishna M. and Pandita, Shreya and Singh, Amit and Steinkellner, Georg and Tesseyre, Guilhem and Wagner, Gerhard and Wang, Zi-Fu and Yust, Ryan J. and Druzhilovskiy, Dmitry S. and Filimonov, Dmitry A. and Pogodin, Pavel V. and Poroikov, Vladimir and Rudik, Anastassia V. and Stolbov, Leonid A. and Veselovsky, Alexander V. and De Rosa, Maria and De Simone, Giada and Gulotta, Maria R. and Lombino, Jessica and Mekni, Nedra and Perricone, Ugo and Casini, Arturo and Embree, Amanda and Gordon, D. Benjamin and Lei, David and Pratt, Katelin and Voigt, Christopher A. and Chen, Kuang-Yu and Jacob, Yves and Krischuns, Tim and Lafaye, Pierre and Zettor, Agn{\`e}s and Rodr{\´i}guez, M. Luis and White, Kris M. and Fearon, Daren and Von Delft, Frank and Walsh, Martin A. and Horvath, Dragos and Brooks III, Charles L. and Falsafi, Babak and Ford, Bryan and Garc{\´i}a-Sastre, Adolfo and Yup Lee, Sang and Naffakh, Nadia and Varnek, Alexandre and Klambauer, G{\"u}nter and Hermans, Thomas M.}, title = {A community effort in SARS-CoV-2 drug discovery}, volume = {43}, journal = {Molecular Informatics}, number = {1}, doi = {https://doi.org/10.1002/minf.202300262}, pages = {e202300262}, year = {2024}, language = {en} } @article{GorgullaNigamKoopetal.2023, author = {Gorgulla, Christoph and Nigam, AkshatKumar and Koop, Matt and Selim {\c{C}}{\i}naroğlu, S{\"u}leyman and Secker, Christopher and Haddadnia, Mohammad and Kumar, Abhishek and Malets, Yehor and Hasson, Alexander and Li, Minkai and Tang, Ming and Levin-Konigsberg, Roni and Radchenko, Dmitry and Kumar, Aditya and Gehev, Minko and Aquilanti, Pierre-Yves and Gabb, Henry and Alhossary, Amr and Wagner, Gerhard and Aspuru-Guzik, Al{\´a}n and Moroz, Yurii S. and Fackeldey, Konstantin and Arthanari, Haribabu}, title = {VirtualFlow 2.0 - The Next Generation Drug Discovery Platform Enabling Adaptive Screens of 69 Billion Molecules}, journal = {bioRxiv}, doi = {10.1101/2023.04.25.537981}, year = {2023}, language = {en} } @inproceedings{SekulicSchneiderAntonetal.2023, author = {Sekulic, Ivan and Schneider, Philipp-Immanuel and Anton, Oliver and Da Ros, Elisa and Henderson, Victoria and Krutzik, Markus}, title = {Efficient machine-learning approach to optimize trapped cold atom ensembles for quantum memory applications}, volume = {12740}, booktitle = {Proc. SPIE}, doi = {10.1117/12.2684406}, pages = {127400F}, year = {2023}, language = {en} } @misc{ZonkerPadillaIglesiasDjurdjevacConrad2023, author = {Zonker, Johannes and Padilla-Iglesias, Cecilia and Djurdjevac Conrad, Natasa}, title = {Supplementary code and data for Royal Society Open Science Manuscript rsos.230495}, doi = {10.12752/9254}, year = {2023}, abstract = {In this repository are all files necessary to run the agent-based model of the paper "Insights into drivers of mobility and cultural dynamics of African hunter-gatherers over the past 120 000 years", Royal Society Open Science, 10(11), 2023.}, language = {en} } @misc{HelfmannDjurdjevacConradLorenzSpreenetal.2023, author = {Helfmann, Luzie and Djurdjevac Conrad, Natasa and Lorenz-Spreen, Philipp and Sch{\"u}tte, Christof}, title = {Supplementary code for the paper Modelling opinion dynamics under the impact of influencer and media strategies}, doi = {10.12752/9267}, year = {2023}, abstract = {This repository contains the Julia code accompanying the paper "Modelling opinion dynamics under the impact of influencer and media strategies", Scientific Reports, Vol.13, p. 19375, 2023.}, language = {en} } @phdthesis{Binkowski2023, author = {Binkowski, Felix}, title = {Riesz-projection-based methods for the numerical simulation of resonance phenomena in nanophotonics}, doi = {10.17169/refubium-41230}, year = {2023}, language = {en} } @article{OehmeMoewisBoethetal.2024, author = {Oehme, Stephan and Moewis, Philippe and Boeth, Heide and Bartek, Benjamin and von Tycowicz, Christoph and Ehrig, Rainald and Duda, Georg and Jung, Tobias}, title = {Altered knee kinematics after posterior cruciate single-bundle reconstruction - a comprehensive prospective biomechanical in vivo analysis}, volume = {12}, journal = {Frontiers in Bioengineering and Biotechnology}, doi = {10.3389/fbioe.2024.1322136}, year = {2024}, language = {en} } @article{ErnstFalkenhagenWinkelmann2023, author = {Ernst, Ariane and Falkenhagen, Undine and Winkelmann, Stefanie}, title = {Model reduction for calcium-induced vesicle fusion dynamics}, volume = {23}, journal = {Proceedings in Applied Mathematics \& Mechanics}, number = {4}, doi = {10.1002/pamm.202300184}, year = {2023}, abstract = {In this work, we adapt an established model for the Ca2+-induced fusion dynamics of synaptic vesicles and employ a lumping method to reduce its complexity. In the reduced system, sequential Ca2+-binding steps are merged to a single releasable state, while keeping the important dependence of the reaction rates on the local Ca2+ concentration. We examine the feasibility of this model reduction for a representative stimulus train over the physiologically relevant site-channel distances. Our findings show that the approximation error is generally small and exhibits an interesting nonlinear and non-monotonic behavior where it vanishes for very low distances and is insignificant at intermediary distances. Furthermore, we give expressions for the reduced model's reaction rates and suggest that our approach may be used to directly compute effective fusion rates for assessing the validity of a fusion model, thereby circumventing expensive simulations.}, language = {en} } @misc{ColomMikheevaAchourietal.2023, author = {Colom, R{\´e}mi and Mikheeva, Elena and Achouri, Karim and Zuniga-Perez, Jesus and Bonod, Nicolas and Martin, Olivier J.F. and Burger, Sven and Genevet, Patrice}, title = {Crossing of the Branch Cut: The Topological Origin of a Universal 2π-Phase Retardation in Non-Hermitian Metasurfaces (Laser Photonics Rev. 17(6)/2023)}, volume = {17}, journal = {Laser Photonics Rev.}, doi = {10.1002/lpor.202370029}, pages = {2370029}, year = {2023}, language = {en} } @misc{WeiserHubigShanmugamSubramaniam2025, author = {Weiser, Martin and Hubig, Michael and Shanmugam Subramaniam, Jayant}, title = {Reconstructing Ambient Temperature Changes in Death Time Estimation with a Bayesian Double-Exponential Approach}, journal = {Zenodo}, doi = {10.5281/zenodo.17702240}, year = {2025}, abstract = {Code and data for the reconstruction of ambient temperature drop in time of death estimation We provide Octave code and temperature measurement data for - empirircally estimating thermal sensor likelihood - estimating time and amplitude of a single sudden ambient temperature drop from temperature measurement data in two thermally different compartments.}, 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} }