Classes
- Mechanics: Exercise SeminarNOFY071 | Faculty of Mathematics and Physics
- Physics III: Exercise SeminarNOFY073 | Faculty of Mathematics and Physics
- Semiconductor Physics for Optoelectronics IINOOE008 | Faculty of Mathematics and Physics
- NanoopticsNOOE127 | Faculty of Mathematics and Physics
- Proseminar of modern opticsNOOE128 | Faculty of Mathematics and Physics
- Numerical methods in electromagnetismNOOE129 | Faculty of Mathematics and Physics
- Introduction to basic approaches in optical spectroscopyNOOE135 | Faculty of Mathematics and Physics
- Experimental methods of optical spectroscopy of solidsNOOE136 | Faculty of Mathematics and Physics
Publications
- Magneto-Optical Bi:YIG Films with High Figure of Merit for Nonreciprocal Photonics2019 | Faculty of Mathematics and Physics
- Temperature-dependent Faraday rotation and magnetization reorientation in cerium-substituted yttrium iron garnet thin films2017 | Faculty of Mathematics and Physics
- Optical and magneto-optical properties of Bi substituted yttrium iron garnets prepared by metal organic decomposition2016 | Faculty of Mathematics and Physics
- Optical and magneto-optical behavior of Cerium Yttrium Iron Garnet thin films at wavelengths of 200-1770 nm2016 | Faculty of Mathematics and Physics
- Polar and longitudinal magneto-optical spectroscopy of bismuth substituted yttrium iron garnet films grown by pulsed laser deposition2011 | Faculty of Mathematics and Physics
- Optical, magneto-optical properties and fiber-drawing ability of tellurite glasses in the TeO2-ZnO-BaO ternary system2024 | Faculty of Mathematics and Physics, Faculty of Science
- Laser-patterned boron-doped diamond electrodes with precise control of sp2/sp3 carbon lateral distribution2023 | Faculty of Mathematics and Physics, Faculty of Science
- Preparation and characterization of YMnO3 thin films by metal-organic decomposition2023 | Faculty of Mathematics and Physics
- Optical detection of collective spin-wave excitation in semiconducting NaMnAs crystal2023 | Faculty of Mathematics and Physics
- Photonic band structure separation and inversion detection with use of machine learning2023 | Faculty of Mathematics and Physics
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