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Metal-containing organic compounds for memory and data storage applications.
Lian, Hong; Cheng, Xiaozhe; Hao, Haotian; Han, Jinba; Lau, Mei-Tung; Li, Zikang; Zhou, Zhi; Dong, Qingchen; Wong, Wai-Yeung.
Afiliación
  • Lian H; MOE Key Laboratory of Advanced Display and System Applications, Shanghai University, 149 Yanchang Road, Jingan District, Shanghai 200072, China.
  • Cheng X; School of Mechanical & Electronic Engineering and Automation, Shanghai University, 99 Shangda Road, Baoshan District, Shanghai 200444, China. qcdong@shu.edu.cn.
  • Hao H; MOE Key Laboratory of Interface Science and Engineering in Advanced Materials, Taiyuan University of Technology, 79 Yingze West Street, Taiyuan, 030024, China.
  • Han J; MOE Key Laboratory of Advanced Display and System Applications, Shanghai University, 149 Yanchang Road, Jingan District, Shanghai 200072, China.
  • Lau MT; MOE Key Laboratory of Interface Science and Engineering in Advanced Materials, Taiyuan University of Technology, 79 Yingze West Street, Taiyuan, 030024, China.
  • Li Z; Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China. wai-yeung.wong@polyu.edu.hk.
  • Zhou Z; MOE Key Laboratory of Interface Science and Engineering in Advanced Materials, Taiyuan University of Technology, 79 Yingze West Street, Taiyuan, 030024, China.
  • Dong Q; MOE Key Laboratory of Interface Science and Engineering in Advanced Materials, Taiyuan University of Technology, 79 Yingze West Street, Taiyuan, 030024, China.
  • Wong WY; Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China. wai-yeung.wong@polyu.edu.hk.
Chem Soc Rev ; 51(6): 1926-1982, 2022 Mar 21.
Article en En | MEDLINE | ID: mdl-35083990
ABSTRACT
With the upcoming trend of Big Data era, some new types of memory technologies have emerged as substitutes for the traditional Si-based semiconductor memory devices, which are encountering severe scaling down technical obstacles. In particular, the resistance random access memory (RRAM) and magnetic random access memory (MRAM) hold great promise for the in-memory computing, which are regarded as the optimal strategy and pathway to solve the von Neumann bottleneck by high-throughput in situ data processing. As far as the active materials in RRAM and MRAM are concerned, organic semiconducting materials have shown increasing application perspectives in memory devices due to their rich structural diversity and solution processability. With the introduction of metal elements into the backbone of molecules, some new properties and phenomena will emerge accordingly. Consequently, the RRAM and MRAM devices based on metal-containing organic compounds (including the small molecular metal complexes, metallopolymers, metal-organic frameworks (MOFs) and organic-inorganic-hybrid perovskites (OIHPs)) have been widely explored and attracted intense attention. In this review, we highlight the fundamentals of RRAM and MRAM, as well as the research progress of the applications of metal-containing organic compounds in both RRAM and MRAM. Finally, we discuss the challenges and future directions for the research of organic RRAM and MRAM.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Chem Soc Rev Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Chem Soc Rev Año: 2022 Tipo del documento: Article País de afiliación: China