Litcius/Paper detail

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

Ruopeng Wang, Jia‐Qin Yang, Jingyu Mao, Zhanpeng Wang, Shuang Wu, Maojie Zhou, Tianyi Chen, Ye Zhou, Su‐Ting Han

2020Advanced Intelligent Systems229 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Neuromorphic engineeringMemristorComputer scienceInternet of ThingsRandomnessHardware security moduleComputer architectureArtificial neural networkArtificial intelligenceEmbedded systemCryptographyElectrical engineeringEngineeringComputer securityMathematicsStatisticsAdvanced Memory and Neural ComputingNeuroscience and Neural EngineeringFerroelectric and Negative Capacitance Devices