Multifunctional Polymer Memory via Bi‐Interfacial Topography for Pressure Perception Recognition

Abstract Emerging memory devices, that can provide programmable information recording with tunable resistive switching under external stimuli, hold great potential for applications in data storage, logic circuits, and artificial synapses. Realization of multifunctional manipulation within individual...

Full description

Bibliographic Details
Main Authors: Xiangjing Wang, Zhe Zhou, Chaoyi Ban, Zepu Zhang, Shang Ju, Xiao Huang, Huiwu Mao, Qing Chang, Yuhang Yin, Mengya Song, Shuai Cheng, Yamei Ding, Zhengdong Liu, Ruolin Ju, Linghai Xie, Feng Miao, Juqing Liu, Wei Huang
Format: Article
Language:English
Published: Wiley 2020-04-01
Series:Advanced Science
Subjects:
Online Access:https://doi.org/10.1002/advs.201902864
Description
Summary:Abstract Emerging memory devices, that can provide programmable information recording with tunable resistive switching under external stimuli, hold great potential for applications in data storage, logic circuits, and artificial synapses. Realization of multifunctional manipulation within individual memory devices is particularly important in the More‐than‐Moore era, yet remains a challenge. Here, both rewritable and nonerasable memory are demonstrated in a single stimuli‐responsive polymer diode, based on a nanohole‐nanowrinkle bi‐interfacial structure. Such synergic nanostructure is constructed from interfacing a nanowrinkled bottom graphene electrode and top polymer matrix with nanoholes; and it can be easily prepared by spin coating, which is a low‐cost and high‐yield production method. Furthermore, the resulting device, with ternary and low‐power operation under varied external stimuli, can enable both reversible and irreversible biomimetic pressure recognition memories using a device‐to‐system framework. This work offers both a general guideline to fabricate multifunctional memory devices via interfacial nanostructure engineering and a smart information storage basis for future artificial intelligence.
ISSN:2198-3844