Projects
Projects as Head
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
Sekulic, Ivan, Dr.
arXiv
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
Sekulic, Ivan, Dr.
DOI
Optimizing Aesthetic Appearance of Perovskite Solar Cells Using Color Filters
Solar RRL, 2024 (epub ahead of print)
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
Sekulic, Ivan, Dr.
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
Sekulic, Ivan, Dr.
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
Sekulic, Ivan, Dr.
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
Sekulic, Ivan, Dr.
DOI