Media Name: Ivan_Sekulic.jpg

Contact

Room
2034
Phone
+49 30 841 85 - 346
Email

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

2024
Bayesian optimization for state engineering of quantum gases arXiv, p. arXiv:2404.18234, 2024 Gabriel Müller, V. J. Martínez-Lahuerta, Ivan Sekuliĉ, Sven Burger, Philipp-Immanuel Schneider, Naceur Gaaloul BibTeX
arXiv
Sekulic, Ivan, Dr.
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.
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.
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.
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.