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

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

PMC · DOI: 10.3762/bjnano.17.8 · Beilstein Journal of Nanotechnology · 2026-01-13

## TL;DR

The 3D-MLSI software is shown to be highly effective for designing superconducting electronics by accurately extracting inductance values.

## Contribution

This study thoroughly verifies the 3D-MLSI tool's accuracy for niobium-based Josephson circuits and adiabatic neurons.

## Key findings

- Experimental and extracted inductances showed good agreement.
- 3D-MLSI is confirmed as a reliable tool for superconducting neuron design.
- The tool's accuracy is critical for circuits sensitive to inductive parameter variations.

## Abstract

3D-MLSI is a software tool made for inductance extraction of superconducting multilayer structures. Despite long history, its capabilities had not been explored sufficiently deep for Josephson circuits based on niobium technology. Here, we present a thorough study and verification of this program in relation to adiabatic neurons, which are extremely sensitive to variations of inductive parameters. Good agreement of experimental and extracted inductances confirms the high potential of the 3D-MLSI software package for the design of superconducting electronics components.

## Full-text entities

- **Chemicals:** niobium (MESH:D009556)

## Full text

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## Figures

15 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12816992/full.md

## References

54 references — full list in the complete paper: https://tomesphere.com/paper/PMC12816992/full.md

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Source: https://tomesphere.com/paper/PMC12816992