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A Monochloro Copper Phthalocyanine Memristor with High‐Temperature Resilience for Electronic Synapse Applications
Author(s) -
Zhou Jia,
Li Wen,
Chen Ye,
Lin YenHung,
Yi Mingdong,
Li Jiayu,
Qian Yangzhou,
Guo Yun,
Cao Keyang,
Xie Linghai,
Ling Haifeng,
Ren Zhongjie,
Xu Jiangping,
Zhu Jintao,
Yan Shouke,
Huang Wei
Publication year - 2021
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.202006201
Subject(s) - neuromorphic engineering , memristor , materials science , crossbar switch , context (archaeology) , resistive random access memory , nanotechnology , resilience (materials science) , synapse , resistive touchscreen , computer science , optoelectronics , electronic engineering , electrical engineering , artificial intelligence , artificial neural network , telecommunications , neuroscience , voltage , engineering , composite material , paleontology , computer vision , biology
Memristors are considered to be one of the most promising device concepts for neuromorphic computing, in particular thanks to their highly tunable resistive states. To realize neuromorphic computing architectures, the assembly of large memristive crossbar arrays is necessary, but is often accompanied by severe heat dispassion. Organic materials can be tailored with on‐demand electronic properties in the context of neuromorphic applications. However, such materials are more susceptible to heat, and detrimental effects such as thermally induced degradation directly lead to failure of device operation. Here, an organic memristive synapse formed of monochloro copper phthalocyanine, which remains operational and capable of memristive switching at temperatures as high as 300 °C in ambient air without any encapsulation, is demonstrated. The change in the electrical conductance is found to be a result of ion movement, closely resembling what takes place in biological neurons. Furthermore, the high viability of this approach is showcased by demonstrating flexible memristors with stable switching behaviors after repeated mechanical bending as well as organic synapses capable of emulating a trainable and reconfigurable memristor array for image information processing. The results set a precedent for thermally resilient organic synapses to impact organic neuromorphic devices in progressing their practicality.