Recent Advances of Volatile Memristors: Devices, Mechanisms, and Applications

Autor: Ruopeng Wang, Jia-Qin Yang, Jing-Yu Mao, Zhan-Peng Wang, Shuang Wu, Maojie Zhou, Tianyi Chen, Ye Zhou, Su-Ting Han
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Advanced Intelligent Systems, Vol 2, Iss 9, Pp n/a-n/a (2020)
Druh dokumentu: article
ISSN: 2640-4567
20200005
DOI: 10.1002/aisy.202000055
Popis: Due to the rapid development of artificial intelligence (AI) and internet of things (IoTs), neuromorphic computing and hardware security are becoming more and more important. The volatile memristors, which feature spontaneous decay of device conductance, own the distinct combination of high similarity to the biological neurons and synapses and unique physical mechanisms. They are excellent candidates for mimicking the synaptic functions and ideal randomness source of the entropy for hardware‐based security. Herein, the recent advances of volatile memristors in devices, mechanisms, and application aspects are summarized. First, a brief introduction is presented to describe the switching type, materials, and temporal response of volatile memristors. Second, the volatile switching mechanisms are discussed and grouped into ion effects, thermal effects, and electrical effects. Third, attention is focused on the applications of volatile memristors for access devices, neuromorphic computing (artificial neurons and synapses), and hardware security (true random number generators and physical unclonable functions). Finally, major challenges and future outlook of volatile memristors for neuromorphic computing and hardware security are discussed.
Databáze: Directory of Open Access Journals
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