Reliable Oscillatory Neural Network Utilizing a Thermally Stable Single Transistor-based Oscillator

A reliable oscillatory neural network (ONN) is demonstrated using a thermally stable single transistor-based oscillator (1T-oscillator). Instead of relying on thermally sensitive impact ionization (I.I.), thermally insensitive band-to-band tunneling (BTBT) is utilized to trigger a single-transistor latch (STL), ensuring stable oscillation characteristics. The study investigates the properties of coupled oscillators, the fundamental elements of ONN, across different temperature settings to confirm thermal stability effects. Additionally, the reliability of ONN is verified through a vertex coloring task, a representative problem in nondeterministic polynomial time hard (NP-hard) combinatorial optimization.

Authors

Publication Details

Journal
JSTS Journal of Semiconductor Technology and Science
Published
2025-02-28
DOI
https://doi.org/10.5573/jsts.2025.25.1.50
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reliable Oscillatory Neural Network Utilizing a Thermally Stable Single Transistor-based Oscillator

Joon‐Kyu Han
2 links
JSTS Journal of Semiconductor Technology and Science
Neural Networks and Applications
article

Reliable Oscillatory Neural Network Utilizing a Thermally Stable Single Transistor-based Oscillator

Joon‐Kyu Han
article en

Abstract

A reliable oscillatory neural network (ONN) is demonstrated using a thermally stable single transistor-based oscillator (1T-oscillator). Instead of relying on thermally sensitive impact ionization (I.I.), thermally insensitive band-to-band tunneling (BTBT) is utilized to trigger a single-transistor latch (STL), ensuring stable oscillation characteristics. The study investigates the properties of coupled oscillators, the fundamental elements of ONN, across different temperature settings to confirm thermal stability effects. Additionally, the reliability of ONN is verified through a vertex coloring task, a representative problem in nondeterministic polynomial time hard (NP-hard) combinatorial optimization.

JSTS Journal of Semiconductor Technology and ScienceVol. 25(1)
Affordable and clean energy
Openalex Percentile: Top 98%
Neural Networks and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.