神经形态工程学
材料科学
可塑性
离子键合
各向异性
纳米技术
光电子学
计算机科学
人工神经网络
化学物理
物理
离子
人工智能
复合材料
量子力学
作者
Jing‐Kai Qin,Bingxuan Zhu,Cong Wang,Chengyu Zhu,Ruoyao Sun,Liang Zhen,Yang Chai,Cheng‐Yan Xu
标识
DOI:10.1002/aelm.202200721
摘要
Abstract Heterosynaptic plasticity is important for the implementation of biological functions in an excitatory synapse. Although plenty of devices have been developed to emulate the synaptic behaviors, the capability of processing information with high heterosynaptic plasticity remains challenging. Herein, it is reported that the electrical conductance of Li + ion pre‐intercalated MoO 3 nanosheet (Li x MoO 3 : 0 < x < 1) can be efficiently modulated, relying on the local phase transition associated with electric‐field‐driven ionic migration. The Li x MoO 3 ‐based in‐plane synaptic device exhibits attractive nonvolatile memory performance including high switching ratio (≈500) and long‐term retention of states (>4000 s). By combining experimental studies with theoretical calculations, the anisotropic in‐plane ionic migration in Li x MoO 3 is revealed, which is attributed to the dissimilarity of adiabatic barriers along different crystallographic directions. A multiterminal Li x MoO 3 memristor responses anisotropically to input spikes, and the slope of conductance change along a ‐axis is almost 7 times larger than that along c ‐axis, which contributes to the emulation of heterosynaptic plasticity required for neurobiological architecture. Additionally, the device can also fulfill the in‐memory Boolean logic operations naturally. This work demonstrates the great potentials of ionic migration to develop artificial synapses, highlighting its promising applications for future brain‐inspired computing systems.
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