JOURNAL ARTICLE

High-temperature-resistant synaptic transistors for neuromorphic computing

Xiao LiuLiang ChuWensheng YanXiaodong Pi

Year: 2024 Journal:   Cell Reports Physical Science Vol: 5 (7)Pages: 102079-102079   Publisher: Elsevier BV

Abstract

SummaryNeuromorphic computing systems based on high-temperature-resistant synaptic devices have emerged as energy-efficient and intelligent strategies for harsh-environment applications, such as fire alarms, nuclear combustion monitoring, and planetary exploration. The synaptic devices can be constructed by two-terminal memristors or three-terminal field-effect transistors. Though the latter exhibits a relatively complex structure, they are advantageous for linear conductance switching, multi-terminal modulation, and emulation of versatile synaptic functionalities. Herein, we will summarize the recent progress of high-temperature-resistant synaptic transistors (HTRSTs). Firstly, an in-depth discussion is conducted regarding their working mechanisms, device structures, and temperature-dependent synaptic characteristics. Then, an overview of the active materials commonly employed in HTRSTs is provided. Several application scenarios of HTRSTs for neuromorphic computing are presented. Finally, a few perspectives and directions for the future development of HTRSTs are outlined.Graphical abstract

Keywords:
Neuromorphic engineering Transistor Materials science Optoelectronics Computer science Computer architecture Electrical engineering Artificial neural network Artificial intelligence Engineering Voltage

Metrics

7
Cited By
2.58
FWCI (Field Weighted Citation Impact)
120
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Ferroelectric and Negative Capacitance Devices
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Neuroscience and Neural Engineering
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience
© 2026 ScienceGate Book Chapters — All rights reserved.