Organic small molecule-based RRAM for data storage and neuromorphic computing-Reference-Cited by-同舟云学术

Organic small molecule-based RRAM for data storage and neuromorphic computing

Published:2020 Issue:37 Volume:8 Page:12714-12738
ISSN:2050-7526
Container-title:Journal of Materials Chemistry C
language:en
Short-container-title:J. Mater. Chem. C

Author:

Mu Boyuan¹²³⁴⁵,Hsu Hsiao-Hsuan⁶⁷⁸,Kuo Chi-Ching⁹⁷⁸^ORCID,Han Su-Ting¹²³⁴^ORCID,Zhou Ye¹⁰³⁴^ORCID

Affiliation:

1. Institute of Microscale Optoelectronics

2. Shenzhen University

3. Shenzhen

4. P. R. China

5. Department of Architecture, Wuchang University of Technology

6. Department of Materials and Mineral Resources Engineering, National Taipei University of Technology

7. Taipei

8. Taiwan

9. Institute of Organic and Polymeric Materials, Research and Development Center of Smart Textile Technology, National Taipei University of Technology

10. Institute for Advanced Study, Shenzhen University

Abstract

Recent state-of-the-art developments related to organic small molecules for resistive random-access memory devices has been emphasized.

Funder

National Natural Science Foundation of China

Guangdong Science and Technology Department

Shenzhen Science and Technology Innovation Commission

National Taipei University of Technology

Shenzhen University

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/TC/D0TC02116D

Reference223 articles.

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3. A semi-floating gate memory based on van der Waals heterostructures for quasi-non-volatile applications

4. Aligned Carbon Nanotube Synaptic Transistors for Large-Scale Neuromorphic Computing

5. Ion Gated Synaptic Transistors Based on 2D van der Waals Crystals with Tunable Diffusive Dynamics

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