Fiber-Shaped Cu-Ion Diffusive Memristor for Neuromorphic Computing
Jialin Meng, Yue Liu, Yuqing Fang, Zhenhai Li, Jieru Song, Tianyu Wang, Hao Zhu, Peining Chen, Qingqing Sun, David Wei Zhang, Lin Chen
Abstract
Fiber-shaped memristors have attracted enormous attention as potential wearable electronics. Here, a Cu-ion diffusive memristor with fiber shape was proposed for artificial synapse and neuromorphic computing. The fiber-shaped diffusive memristor exhibits gradual conductance modulation characteristics under consecutive voltage sweeps. Typical synaptic plasticity including EPSC, PPF, PPD, LTP/LTD and learning behaviors were all successfully achieved by the memristor. The active Cu <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$^{{2}+}$ </tex-math></inline-formula> of diffusive memristor was similar as Ca <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$^{{2}+}$ </tex-math></inline-formula> diffusion in biological synapse, which is the basis of realizing the functions of synaptic plasticity. The fiber-shaped Cu <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$^{{2}+}$ </tex-math></inline-formula> diffusive memristor acting as artificial synapse paves the way for next-generation wearable neuromorphic computing system.