Covalent Organic Frameworks for Neuromorphic Devices.

Zhou, Kui; Jia, Ziqi; Zhou, Yao; Ding, Guanglong; Ma, Xin-Qi; Niu, Wenbiao; Han, Su-Ting; Zhao, Jiyu; Zhou, Ye

Zhou, Kui; Jia, Ziqi; Zhou, Yao; Ding, Guanglong; Ma, Xin-Qi; Niu, Wenbiao; Han, Su-Ting; Zhao, Jiyu; Zhou, Ye.

Afiliación

Zhou K; Institute for Advanced Study, Shenzhen University, 3688 Nanhai Avenue, Shenzhen 518060, P. R. China.
Jia Z; Institute for Advanced Study, Shenzhen University, 3688 Nanhai Avenue, Shenzhen 518060, P. R. China.
Zhou Y; College of Materials Science and Engineering, Shenzhen University, 3688 Nanhai Avenue, Shenzhen 518060, P. R. China.
Ding G; Institute for Advanced Study, Shenzhen University, 3688 Nanhai Avenue, Shenzhen 518060, P. R. China.
Ma XQ; Institute for Advanced Study, Shenzhen University, 3688 Nanhai Avenue, Shenzhen 518060, P. R. China.
Niu W; Institute for Advanced Study, Shenzhen University, 3688 Nanhai Avenue, Shenzhen 518060, P. R. China.
Han ST; College of Electronics and Information Engineering, Shenzhen University, 3688 Nanhai Avenue, Shenzhen 518060, P. R. China.
Zhao J; State Key Laboratory of Fine Chemicals, Dalian University of Technology, 2 Linggong Road, Dalian 116024, P. R. China.
Zhou Y; Institute for Advanced Study, Shenzhen University, 3688 Nanhai Avenue, Shenzhen 518060, P. R. China.

J Phys Chem Lett ; 14(32): 7173-7192, 2023 Aug 17.

Article en En | MEDLINE | ID: mdl-37540588

RESUMEN

Neuromorphic computing could enable the potential to break the inherent limitations of conventional von Neumann architectures, which has led to widespread research interest in developing novel neuromorphic memory devices, such as memristors and bioinspired artificial synaptic devices. Covalent organic frameworks (COFs), as crystalline porous polymers, have tailorable skeletons and pores, providing unique platforms for the interplay with photons, excitons, electrons, holes, ions, spins, and molecules. Such features encourage the rising research interest in COF materials in neuromorphic electronics. To develop high-performance COF-based neuromorphic memory devices, it is necessary to comprehensively understand materials, devices, and applications. Therefore, this Perspective focuses on discussing the use of COF materials for neuromorphic memory devices in terms of molecular design, thin-film processing, and neuromorphic applications. Finally, we provide an outlook for future directions and potential applications of COF-based neuromorphic electronics.

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Phys Chem Lett Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

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