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Home Members Sekulic, Ivan, Dr.

Sekulic, Ivan, Dr.

Media Name: Ivan_Sekulic.jpg

Contact

Room
2034
Phone
+49 30 841 85 - 346
Email
Email
Division
Mathematics of Complex Systems
Department
Modeling and Simulation of Complex Processes
Group
Computational Nano Optics

Projects

Projects as Head

NanoLab G-RIPS

NanoLab GRIPS 2024

This project is part of the 8th edition of the Graduate-Level Research in Industrial Projects for Students (G-RIPS) summer program at the Zuse Institute Berlin (ZIB).

NanoLab GRIPS 2024

Publications

2025
Bayesian optimization for state engineering of quantum gases Quantum Sci. Technol., Vol.10, p. 015033, 2025 Gabriel Müller, Victor J. Martínez-Lahuerta, Ivan Sekuliĉ, Sven Burger, Philipp-Immanuel Schneider, Naceur Gaaloul BibTeX
arXiv
DOI
Chiral Plasmonic Crystals Self-Assembled by DNA Origami J. Phys. Chem. C, Vol.129, p. 5116, 2025 Christoph Sikeler, Susanne Kempter, Ivan Sekuliĉ, Sven Burger, Tim Liedl BibTeX
DOI
Optimization strategies for colorful thin film solar cells Proc. SPIE, p. PC133610E, Vol.PC13361, 2025 Jonas Schaible, Hanifah Winarto, Victor Skorjanc, Danbi Yoo, Lea Zimmermann, Andreas Wessels, Klaus Jäger, Ivan Sekuliĉ, Philipp-Immanuel Schneider, Benedikt Bläsi, Sven Burger, Christiane Becker BibTeX
DOI
Optimizing Aesthetic Appearance of Perovskite Solar Cells Using Color Filters Solar RRL, Vol.9, p. 2400627, 2025 Jonas Schaible, Hanifah Winarto, Viktor Škorjanc, Danbi Yoo, Lea Zimmermann, Klaus Jäger, Ivan Sekuliĉ, Philipp‐Immanuel Schneider, Sven Burger, Andreas Wessels, Benedikt Bläsi, Christiane Becker BibTeX
DOI
2024
Machine-learning driven design of metasurfaces: learn the physics and not the objective function Proc. SPIE, Vol.PC13017, p. PC130170X, 2024 Ivan Sekuliĉ, Philipp-Immanuel Schneider, Martin Hammerschmidt, Sven Burger BibTeX
DOI
Review and experimental benchmarking of machine learning algorithms for efficient optimization of cold atom experiments Mach. Learn. Sci. Technol., Vol.5, p. 025022, 2024 Oliver Anton, Victoria A. Henderson, Elisa Da Ros, Ivan Sekuliĉ, Sven Burger, Philipp-Immanuel Schneider, Markus Krutzik BibTeX
DOI
arXiv
2023
Efficient machine-learning approach to optimize trapped cold atom ensembles for quantum memory applications Proc. SPIE, p. 127400F, Vol.12740, 2023 Ivan Sekuliĉ, Philipp-Immanuel Schneider, Oliver Anton, Elisa Da Ros, Victoria Henderson, Markus Krutzik BibTeX
DOI
2022
Boosting quantum optics experiments with Bayesian optimization Proc. SPIE, p. 122270F, Vol.12227, 2022 Philipp-Immanuel Schneider, Lin Zschiedrich, Martin Hammerschmidt, Lilli Kuen, Ivan Sekuliĉ, Julien Kluge, Bastian Leykauf, Markus Krutzik, Sven Burger BibTeX
DOI