A Firing-Based Ionizing Radiation-Sensitive Transistor Operating through a Single-Transistor Latch

Abstract Neuromorphic sensory systems require artificial sensory neurons that directly convert environmental stimuli into spike-based signals for efficient interfacing with spiking neural networks (SNNs). Here, we demonstrate a firing-based ionizing radiation-sensitive transistor (FIRST) that detects ionizing radiation through a single-transistor latch (STL). FIRST is implemented using a single MOSFET with a floating body on silicon-on-insulator wafers and generates spike trains through repetitive charging–discharging dynamics. Under gamma-ray irradiation, oxide-trapped charges in the front gate oxide and the back buried oxide modulate the positive-feedback mechanism of STL operation. Consequently, the latch-up voltage decreases with increasing total ionizing dose, resulting in a higher firing frequency. The generated spikes directly encode radiation information without additional sensing or analog front-end circuits. By integrating radiation sensing and spike encoding within a single transistor, the FIRST enables an artificial sensory neuron for ionizing radiation. This work provides a foundation for event-driven radiation monitoring and SNN-compatible sensing in high-radiation environments.

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Publication Details

Journal
Nano Letters
Published
2026-09-16
DOI
https://doi.org/10.1021/acs.nanolett.6c02964
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

A Firing-Based Ionizing Radiation-Sensitive Transistor Operating through a Single-Transistor Latch

Seong‐Yun Yun, Yang‐Kyu Choi, Sang‐Won Lee, Jeong-A Han et al.
Nano Letters
Advanced Memory and Neural Computing
article

A Firing-Based Ionizing Radiation-Sensitive Transistor Operating through a Single-Transistor Latch

Seong‐Yun Yun, Yang‐Kyu Choi, Sang‐Won Lee, Jeong-A Han, Do-Wan Kim
article en

Abstract

Abstract Neuromorphic sensory systems require artificial sensory neurons that directly convert environmental stimuli into spike-based signals for efficient interfacing with spiking neural networks (SNNs). Here, we demonstrate a firing-based ionizing radiation-sensitive transistor (FIRST) that detects ionizing radiation through a single-transistor latch (STL). FIRST is implemented using a single MOSFET with a floating body on silicon-on-insulator wafers and generates spike trains through repetitive charging–discharging dynamics. Under gamma-ray irradiation, oxide-trapped charges in the front gate oxide and the back buried oxide modulate the positive-feedback mechanism of STL operation. Consequently, the latch-up voltage decreases with increasing total ionizing dose, resulting in a higher firing frequency. The generated spikes directly encode radiation information without additional sensing or analog front-end circuits. By integrating radiation sensing and spike encoding within a single transistor, the FIRST enables an artificial sensory neuron for ionizing radiation. This work provides a foundation for event-driven radiation monitoring and SNN-compatible sensing in high-radiation environments.

Nano Letters
Korea Advanced Institute of Science and Technology (KR)
Openalex Percentile: Top 20%
Advanced Memory and Neural Computing
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