Phase-change nanoclusters embedded in a memristor for simulating synaptic learning-Reference-Cited by-同舟云学术

Phase-change nanoclusters embedded in a memristor for simulating synaptic learning

Published:2019 Issue:12 Volume:11 Page:5684-5692
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Wan Qin¹²³⁴⁵,Zeng Fei¹²³⁴⁵^ORCID,Yin Jun¹²³⁴⁵,Sun Yiming¹²³,Hu Yuandong¹²³⁴⁵,Liu Jialu¹²³⁴⁵,Wang Yingcong¹²³⁶⁷,Li Guoqi⁴⁵⁸⁹,Guo Dong⁶⁷⁹^ORCID,Pan Feng¹²³⁴⁵^ORCID

Affiliation:

1. Key Laboratory of Advanced Materials (MOE)

2. School of Materials Science and Engineering

3. China

4. Center for Brain-inspired Computing Research (CBICR)

5. Tsinghua University

6. School of Materials Sciences & Engineering

7. Beihang University

8. Beijing 100084

9. People's Republic of China

Abstract

A type of memristor with structure of Pd/Nb : AlNO/Pd is designed to mimic synaptical plasticity and kinetics.

Funder

National Natural Science Foundation of China

Key Laboratory of Microelectronic Devices Integrated Technology, Chinese Academy of Sciences

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2019/NR/C8NR09765H

Reference45 articles.

1. Building the Human Brain

2. A. Adamatzky and L.Chua , Memristor Networks , Springer , Switzerland , 1st edn, 2014

3. Nanoscale Memristor Device as Synapse in Neuromorphic Systems

4. Short-term plasticity and long-term potentiation mimicked in single inorganic synapses

5. Biorealistic Implementation of Synaptic Functions with Oxide Memristors through Internal Ionic Dynamics

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