童浩

·Paper Publications

Current position: 英文主页 > Scientific Research > Paper Publications
An artificial synapse by superlattice-like phase-change material for low-power brain-inspired computing
Release time:2023-08-21  Hits:

Indexed by: Journal paper

First Author: 胡庆

Correspondence Author: 缪向水,徐明,TONG HAO

Co-author: He Yuhui,黄恩铭,WANG LUN,dongboyi

Journal: Chinese Physics B

Affiliation of Author(s): 华中科技大学

Discipline: Engineering

First-Level Discipline: Electronic Science And Technology

Document Type: J

Volume: 29

Issue: 7

Page Number: 070701

Key Words: superlattice-like, phase-change material, artificial synapse, low-power consumption

DOI number: 10.1088/1674-1056/ab892a

Date of Publication: 4388-08-01

Abstract: Phase-change material (PCM) is generating widespread interest as a new candidate for artificial synapses in bio-inspired computer systems. However, the amorphization process of PCM devices tends to be abrupt, unlike continuous synaptic depression. The relatively large power consumption and poor analog behavior of PCM devices greatly limit their applications. Here, we fabricate a GeTe/Sb 2 Te 3 superlattice-like PCM device which allows a progressive RESET process. Our devices feature low-power consumption operation and potential high-density integration, which can effectively simulate biological synaptic characteristics. The programming energy can be further reduced by properly selecting the resistance range and operating method. The fabricated devices are implemented in both artificial neural networks (ANN) and convolutional neural network (CNN) simulations, demonstrating high accuracy in brain-like pattern recognition.

Links to published journals: https://iopscience.iop.org/article/10.1088/1674-1056/ab892a