Elements of Hybrid Opto-superconducting Convolutional Neural Networks. - A. E. Schegolev; Nikolay V. Klenov; M. V. Tereshonok; S. S. Adjemov (PHOTOPTICS, 2020)

Dynamic Processes in a Superconducting Adiabatic Neuron with Non-Shunted Josephson Contacts. - Marina Bastrakova; Anastasiya Gorchavkina; Andrey Schegolev; Nikolay V. Klenov; Igor Soloviev; Arkady M. Satanin; Maxim Tereshonok (Symmetry, 2021)

Issues with Modeling a Tunnel Communication Channel through a Plasma Sheath. - Anna V. Bogatskaya; Andrey Schegolev; Nikolay V. Klenov; Evgeniy M. Lobov; Maxim Tereshonok; Alexander M. Popov (Sensors, 2022)

A Pair of Coupled Waveguides as a Classical Analogue for a Solid-State Qubit. - Andrey Schegolev; Nikolay V. Klenov; Anna V. Bogatskaya; Rustam D. Yusupov; Alexander M. Popov (Sensors, 2022)

Peculiarities of Resonant Absorption of Electromagnetic Signals in Multilayer Bolometric Sensors. - Anna V. Bogatskaya; Nikolay V. Klenov; Alexander M. Popov; Andrey Schegolev; Pavel A. Titovets; Maxim Tereshonok (Sensors, 2023)

Optimisation challenge for superconducting adiabatic neural network implementing XOR and OR boolean functions. - Dmitrii Pashin; Marina Bastrakova; D. A. Rybin; Igor Soloviev; A. E. Schegolev; Nikolay V. Klenov (CoRR, 2024)

Contemporary implementations of spiking bio-inspired neural networks. - Andrey Schegolev; Marina Bastrakova; Michael A. Sergeev; Anastasia A. Maksimovskaya; Nikolay V. Klenov; Igor Soloviev (CoRR, 2024)