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2 article(s) from Razorenov, Fedor A

Capabilities of the 3D-MLSI software tool in superconducting neuron design

Irina E. Tarasova,
Nikita S. Shuravin,
Liubov N. Karelina,
Fedor A. Razorenov,
Evgeny N. Zhardetsky,
Aleksandr S. Ionin,
Mikhail M. Khapaev and
Vitaly V. Bol’ginov

Beilstein J. Nanotechnol. 2026, 17, 122–138, doi:10.3762/bjnano.17.8

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Figure 1: Cross-sectional diagram of a two-junction SQUID containing three superconducting layers (M1, M2, an...

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Figure 2: Schematics of test C-shaped SQUIDs. Gray color indicates the superconducting ground plane (layer M1...

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Figure 3: Comparison of calculated L_calc and experimental L_exp self-inductances for two-junction SQUIDs shown...

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Figure 4: Comparison of calculated L_calc vs experimental L_exp self-inductances (a, b) and calculated M_calc vs...

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Figure 5: Microphotographs of investigated (a) sigma and (b) Gauss neurons. Figures show neuron's Josephson j...

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Figure 6: Comparison of calculated (L_calc and M_calc) and experimental (L_exp and M_exp) values of self- (a) and...

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Figure 7: Mutual inductance dependence on the Δ_y variable part length for the test SQUID sample presented in Figure 2b...

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Figure 8: Dependence of (a) the allocated memory and (b) the execution time on the number of meshing points f...

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Figure 9: Dependence of calculated self- (a) and mutual (b) inductances of the test two-junction interferomet...

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Figure 10: Results of OpenMP multithreading testing as applied to the simulation of the second partial loop of...

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Figure 11: Dependence of self- and mutual inductances of the test SQUID (see Figure 2b) on the size of the superconduct...

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Figure 12: Comparison of the experimental (black dots) and the approximated (solid red curve) TFs of the sigma...

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Figure 13: a) A principal scheme of inductance measurements. “B”, “C”, and “F” are current sources. Crosses in...

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Figure 14: Schematic representation of a sigma neuron and examples of its partial loops (see details in text)....

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Figure 15: Schematic representation of a Gauss neuron (a) and one of its partial loops (b) (see details in tex...

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Full Research Paper

Published 13 Jan 2026

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Transfer function of an asymmetric superconducting Gauss neuron

Fedor A. Razorenov,
Aleksander S. Ionin,
Nikita S. Shuravin,
Liubov N. Karelina,
Mikhail S. Sidel’nikov,
Sergey V. Egorov and
Vitaly V. Bol’ginov

Beilstein J. Nanotechnol. 2025, 16, 1160–1170, doi:10.3762/bjnano.16.85

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Figure 1: Schematic representation of a Gauss neuron, adapted from [14] (see details in the text).

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Figure 2: (a) Transfer function of the symmetric Gauss neuron according to Equation 12–Equation 14 for l = 0.29, l_out = 0.48, and ϕ_b...

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Figure 3: Transfer function of the Gauss neuron according to Equation 26–Equation 28 at different values of the Josephson asymmetry...

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Figure 4: Transfer function of the Gauss neuron with different inductance ratios for the receiving arms (give...

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Figure 5: Transfer function of the neuron according to Equation 47–Equation 49 with different imbalance coefficients of the input s...

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Figure 6: (a) Experimental transfer function of the superconducting Gauss neuron prototype according to [18]. The...

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Full Research Paper

Published 21 Jul 2025

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