AI-based photonic inverse design: hugely polarization-selective multilayered scatterers
Umetaliev T. Valagiannopoulos C.
1 March 2025Optica Publishing Group (formerly OSA)
Journal of the Optical Society of America B: Optical Physics
2025#42Issue 3621 - 630 pp.
Artificial intelligence (AI) is used for the photonic inverse design of multilayered cylindrical nanorods that exhibit maximal polarization selectivity in the way they scatter the visible light. The optimal setups are obtained from a neural network whose training dataset contains only designs with significantly lower performance. The reported particles can be incorporated into on-chip systems, serving a wide spectrum of photonic applications from ultra-efficient sensing and imaging to secure optical communications and sharp filtering.
Text of the article Перейти на текст статьи
Department of Physics, Nazarbayev University, Astana, KZ 010000, Kazakhstan
School of Electrical and Computer Engineering, National Technical University of Athens, Athens, GR 15780, Greece
Department of Physics
School of Electrical and Computer Engineering
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026