Affiliation:
1. Key Laboratory of Advanced Materials (MOE) School of Materials Science and Engineering Tsinghua University Beijing 100084 P. R. China
2. Center for Brain Inspired Computing Research (CBICR) Tsinghua University Beijing 100084 P. R. China
Abstract
AbstractResearch and development of memristor‐based neuromorphic networks has entered the stage of large‐scale application. However, the understanding of the adopted memristors is still vague, meaning a thorough study of their local activity is urgently necessary. Here, an electrode tip is created to focus the electrical field on the active locality, where the NbO quantum dot (QD) self‐assembles in the middle of the Nb‐doped AlNO film. The QD size can fluctuate under an appropriately controlled electron beam or electrical field, suggesting reversible nucleation behavior. The QD system periodically pulses when the input is enhanced to a co‐tunneling threshold or to one that activates the oscillation of the QD size. These two mechanisms are attributed to the local activity accounting for the information‐energy conversion of the QD system. This study presents a more precise and low energy‐consumption approach for neuromorphic computing by manipulating the local activity.
Funder
National Natural Science Foundation of China
Subject
Electrical and Electronic Engineering,Computational Theory and Mathematics,Condensed Matter Physics,Mathematical Physics,Nuclear and High Energy Physics,Electronic, Optical and Magnetic Materials,Statistical and Nonlinear Physics
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献