Machine learning enabled the design of compact and efficient wavelength demultiplexing photonic devices

Mirbek TURDUEV

In this paper, we introduce the design approach of integrated photonic devices by employing reinforcement learning known as attractor selection (AttSel). Here, we combined 3D FDTD with AttSel algorithm, which is based on artificial neural networks, to achieve ultra-compact and highly efficient wavelength demultiplexers with low crosstalk such as. The presented devices consist of SOI materials, which are compatible with complementary MOS technology. Consequently, the reinforcement learning is successfully applied to design smaller and superior integrated photonic devices. Keyword: inverse desig ...Daha fazlası

Konferans Bildirisi 2023 Mühendislik Fakültesi 2023 IEEE Photonics Conference (IPC) 18 Görüntülenme

Curved beam generation and its experimental realization by rectangular prism with asymmetric polynomial back surface

Mirbek TURDUEV

With the discovery of self-accelerating beams, possibility of obtaining curved light beams in free space has been realized. These special beams paved the way for many new applications as well as the exploration of novel beam types. Recently, great research effort has been conducted to realize different types of curved beams such as photonic hook and airy beam. These curved types of beams are obtained by introducing structural asymmetry or applying non-uniform dielectric distribution to the input and output face of the structure. With this regard, we propose specially designed asymmetric struct ...Daha fazlası

Makale 2023 Mühendislik Fakültesi Physica Scripta98 ( 1 ) 79 Görüntülenme

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Machine learning enabled the design of compact and efficient wavelength demultiplexing photonic devices

Mirbek TURDUEV

Curved beam generation and its experimental realization by rectangular prism with asymmetric polynomial back surface

Mirbek TURDUEV