An indirect way to achieve comprehensive performance improvement of resistive memory: when hafnium meets ITO in an electrode.


Journal

Nanoscale
ISSN: 2040-3372
Titre abrégé: Nanoscale
Pays: England
ID NLM: 101525249

Informations de publication

Date de publication:
07 Feb 2020
Historique:
pubmed: 24 1 2020
medline: 24 1 2020
entrez: 24 1 2020
Statut: ppublish

Résumé

Emerging resistive random access memory has attracted extensive research enthusiasm. In this study, an indirect way to improve resistive random access memory (RRAM) comprehensive performance through electrode material re-design without intensive switching layer engineering is presented by adopting a hafnium-indium-tin-oxide composite. Working parameters of the device can be effectively improved: not only are low operation power consumption and high working stability achieved, but the memory window is significantly enlarged, accompanied by an automatic self-current-compliance function. The correlation between hafnium incorporation and performance improvements and the corresponding current conduction mechanisms have been thoroughly investigated to clarify the resistive switching behavior and to explain the oxygen absorption buffer effect. The hafnium atom, with large atomic radius, is surrounded by soft electron clouds and has high chemical activity to attract oxygen ions. It facilitates the accumulation of more oxygen ions around the interface of the top electrode and the resistive switching layer, leading to lower current and Schottky conduction. This study presents an important strategy for designing and developing electrode materials to improve the characteristics of RRAM and offers an indirect method to modify device working behaviors, also unveiling a promising prospect for its potential future application in low-power information storage and calculation technology.

Identifiants

pubmed: 31971203
doi: 10.1039/c9nr08943h
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3267-3272

Auteurs

Lei Li (L)

School of Electronic and Computer Engineering, Peking University, Shenzhen Graduate School, Shenzhen 518055, China. kcchang@pkusz.edu.cn.

Kuan-Chang Chang (KC)

School of Electronic and Computer Engineering, Peking University, Shenzhen Graduate School, Shenzhen 518055, China. kcchang@pkusz.edu.cn.

Cong Ye (C)

Faculty of Physics and Electronic Science, Hubei University, Hubei Key Laboratory of Ferro-& Piezoelectric Materials and Devices, Hubei Key Laboratory of Applied Mathematics, Wuhan 430062, China.

Xinnan Lin (X)

School of Electronic and Computer Engineering, Peking University, Shenzhen Graduate School, Shenzhen 518055, China. kcchang@pkusz.edu.cn.

Rui Zhang (R)

School of Electronic and Computer Engineering, Peking University, Shenzhen Graduate School, Shenzhen 518055, China. kcchang@pkusz.edu.cn.

Zhong Xu (Z)

Faculty of Physics and Electronic Science, Hubei University, Hubei Key Laboratory of Ferro-& Piezoelectric Materials and Devices, Hubei Key Laboratory of Applied Mathematics, Wuhan 430062, China.

Yi Zhou (Y)

Faculty of Physics and Electronic Science, Hubei University, Hubei Key Laboratory of Ferro-& Piezoelectric Materials and Devices, Hubei Key Laboratory of Applied Mathematics, Wuhan 430062, China.

Wen Xiong (W)

Faculty of Physics and Electronic Science, Hubei University, Hubei Key Laboratory of Ferro-& Piezoelectric Materials and Devices, Hubei Key Laboratory of Applied Mathematics, Wuhan 430062, China.

Tzu-Peng Kuo (TP)

Department of Physics, National Sun Yat-sen University, Kaohsiung 804, Taiwan and Institute of Materials and Optoelectronics, National Sun Yat-sen University, Kaohsiung 804, Taiwan.

Classifications MeSH