材料科学
整改
三氧化钨
超级电容器
纳米技术
二极管
光电子学
选择性
非易失性存储器
六方晶系
钨
油藏计算
记忆电阻器
电极
电阻随机存取存储器
纳米结构
计算机数据存储
氧化钨
数码产品
理论(学习稳定性)
作者
Xiaobo Yang,Liang Wu,Liyuan Ye,Hao Ning,Yunxia Dong,Limou Zhang,Y. L. Li,Baoke Zhao,Xinhong Guo,Yongqi Gao,Kai Sun,Jun Wang,Kai Wang,Ying Wu,Dequan Liu,Yali Li,Yujun Fu,Deyan He,Hongyun Ma,Junshuai Li
标识
DOI:10.1002/adfm.202524006
摘要
Abstract The fast development of artificial intelligence and brain‐like computing poses new challenges to data processing and storage, escalating the demand for novel computing and memory devices. Herein, inspired by the selective ion‐transport behavior of protein channels in biological synapses, a hydrous hexagonal tungsten trioxide (h‐WO 3 )‐based supercapacitor diode (CAPode) is designed and constructed. Benefiting from its hexagonal biomimetic proton channels and embedded single‐file water chains, the hydrous h‐WO 3 exhibits outstanding selectivity and fast transport kinetics toward protons. As a consequence, the as‐built CAPode delivers an ultrahigh rectification ratio of 242, an unprecedented response frequency of 1745 Hz, and an excellent cycling stability over 20 000 charging/discharging cycles. Combining these unparalleled performances together, the hydrous h‐WO 3 ‐based CAPode is demonstrated to be very competent for basic logic operations even at a frequency of over kilohertz. More attractively, it also demonstrates superior writing–erasing capability and excellent long‐term memory effect, validating great potential in the burgeoning computing‐in‐memory architecture and corresponding brain‐like computing.
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