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Research Article | Open Access

Edge detection and graph coloring by network of oscillatory neuromorphic devices comprising silicon nanosheet-gated diodes

Yunwoo Shin, Hyojoo Heo, Kyoungah Cho ( ), Sangsig Kim ( )
Department of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea
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Graphical Abstract

In this research, we demonstrated a network of oscillatory neuromorphic devices to perform edge detection and solve the graph coloring problem. An oscillatory neuromorphic device comprised a silicon nanosheet-gated diode and a resistor. Edge detection was enabled by capacitively coupled devices, and the graph coloring problem was solved using resistively and capacitively coupled oscillatory neuromorphic devices.

Abstract

Oscillatory neural networks (ONNs) can handle image processing and combinational optimization problems with high biological plausibility. Coupled oscillators in ONNs mimic the neuronal oscillations and communication in the human brain. In this study, we demonstrate edge detection and graph coloring using a network of oscillatory neuromorphic devices comprising silicon nanosheet (NS)-gated diodes and series resistors. Silicon NS-gated diodes modulate the energy band structure in the channel through electrostatic doping, which tunes the amplitude and frequency of the oscillatory neuromorphic devices. Coupled oscillatory neuromorphic devices with capacitors can be in- or out-of-phase, enabling edge detection. Horizontal and vertical edge detections were performed using the coupling configuration. Furthermore, an ONN using oscillatory neuromorphic devices with resistive and capacitive couplings can solve graph coloring problems by representing the coloring solutions as phase differences. This study provides a method for achieving a compact silicon-based ONN that acts as a solver machine, as well as an image processor.

Keywords

oscillatory neural networksilicon nanosheet-gated diodepositive feedback loop mechanismedge detectiongraph coloring

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Nano Research
Volume 18 Issue 3,
March 2025
Article number: 94907214
DOI: 10.26599/NR.2025.94907214
Cite this article:
Shin Y, Heo H, Cho K, et al. Edge detection and graph coloring by network of oscillatory neuromorphic devices comprising silicon nanosheet-gated diodes. Nano Research, 2025, 18(3): 94907214. https://doi.org/10.26599/NR.2025.94907214

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Received: 23 September 2024
Revised: 07 December 2024
Accepted: 25 December 2024
Published: 22 January 2025
© The Author(s) 2025. Published by Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).
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