童浩

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教授     博士生导师    

所在单位:集成电路学院

学历:研究生(博士)毕业

学位:博士学位

毕业院校:华中科技大学

学科:微电子学与固体电子学
曾获荣誉:
2024    华中科技大学青年五四奖章
2022    华为奥林帕斯先锋奖
2020    湖北省技术发明一等奖(排名第2)
2013    湖北省年度“十大科技事件”
2013    湖北省优秀博士学位论文
2014    湖北省优秀学士学位论文指导教师
2015    华中科技大学教师教学竞赛二等奖
2017    华中科技大学光学与电子信息学院“我最喜爱的教师班主任“
2020    华中科技大学光学与电子信息学院突出贡献一等奖

A 2.22 Mb/s True Random Number Generator Based on a GeTe x Ovonic Threshold Switching Memristor
发布时间:2023-08-21  点击次数:

论文类型:期刊论文
第一作者:温晋宇,付雨阳
通讯作者:童浩,李祎
合写作者:缪向水,王浩,马国坤,左文斌,朱启航,杨岭,王伦
发表刊物:IEEE Electron Device Letters
所属单位:华中科技大学
学科门类:工学
一级学科:电子科学与技术
文献类型:J
卷号:44
期号:5
页面范围:853-856
关键字:True random number generators, ovonic threshold switching, memristor, high throughput
DOI码:10.1109/led.2023.3259000
发表时间:4500-05-01
摘要:True random number generators (TRNGs) based on threshold switching memristors emerge as a building block for secure electronics. However, the throughputs reported in previous studies have a stark gap with the requirements of practical applications (>1 Mb/s). Here, we implement a high-speed TRNG with a GeTex ovonic threshold switching (OTS) memristor. The TRNG throughput reaches 2.22 Mb/s for a single cell, which is 2.2 times faster than the prior state-of-the-art threshold-switchingbased TRNG. In addition, the TRNG endurance of 2 × 109 bits was achieved, and the random bits passed 12 tests in the National Institute of Standards and Technology statistical test suite. Our results demonstrated that the OTS-based TRNG could provide a high–throughput and highly secure solution for edge applications
发布期刊链接:https://ieeexplore.ieee.org/abstract/document/10076428