Registration Number
0222U003188,
0120U102386
, R & D reports
Title
Laser engineering of nano objects: physical basics and applications.
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Head
Yatsenko Leonid P., Доктор фізико-математичних наук
Registration Date
21-02-2022
Organization
Institute of Physics of National Academy of Sciences of Ukraine
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The object of research is nanoparticles in the light field of laser radiation, structures with periodic modulation of nanoparticle concentration, resonant waveguide structures (RWS) based on polymeric nanocomposites with periodic bulk modulation of dielectric constant. Scattering of light by a particle held by optical tweezers.
The aim of the work is to develop a model of the interaction of lanthanide-doped nanoparticles with the laser radiation field. Research of the resonant properties of lattice-waveguides produced by method of holographic lithography. Create an accurate and fast method of three-dimensional localization of a particle captured by optical tweezers.
The research method is a description of the interaction of nanoparticles with laser radiation and their motion by methods of electrodynamics, quantum mechanics, and classical mechanics. Theoretical modeling of RWS in order to determine the thickness of the waveguide and the lattice period, which provide resonance conditions in the selected wavelength range. Scientific modeling based on the method of finite differences in the time domain. Scientific modeling based on Mi theory and using a neural network with deep learning.
Results. A three-level model of the interaction of a rare-earth ion with laser radiation is proposed to study the force of light pressure on nanoparticles with doped rare-earth ions. To determine the resonant wavelengths for different angles of incidence of the light wave on the RWS and the parameters of the structure a theoretical model based on the theory of planar waveguides was developed. The parameters of the lattice waveguides for different angles of incidence of light waves were calculated, and the wavelengths of the resonances in the reflection spectrum were determined. A universal method for three-dimensional localization of particles based on convolutional neural networks has been developed. A new method of deep learning was used to analyze microscopy data.
Product Description
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Ezhov Pavlo Valentynovych
Bashchenko Sergij Mykolajovych
Gryn Volodymyr Oleksandrovych
Negriyko Anatoliy Mykhaylovych
Perederiy Oleksandr Olegovych
Potemkina Zhanna Vyacheslavivna
Romamnenko Viktor Ivanovych
Smirnova Tatiana Nikolaevna
Udovytska Olena Grygorivna
Khodakovsyy Volodymyr Mykhaylovych
Yatsenko Leonid Petrovych
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2022-03-09
