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基于MOF衍生NiO中空纳米微球的室温NO_(2)气体传感器
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作者 李栋辉 韩丹 +2 位作者 桑鲁骁 菅傲群 桑胜波 《半导体技术》 北大核心 2025年第6期568-573,580,共7页
NO_(2)是大气污染中最常见的有毒气体之一,快速准确地探测NO_(2)对环境保护和人类健康具有重要意义。金属有机框架(MOF)是一类具有高比表面积和丰富活性位点的新型结构,可经加热锻烧去除有机配体,衍生出对应的中空多孔金属氧化物,是目... NO_(2)是大气污染中最常见的有毒气体之一,快速准确地探测NO_(2)对环境保护和人类健康具有重要意义。金属有机框架(MOF)是一类具有高比表面积和丰富活性位点的新型结构,可经加热锻烧去除有机配体,衍生出对应的中空多孔金属氧化物,是目前室温气体传感器领域优异的敏感单元候选。利用便捷高效的一步水热法及热退火工艺制备出基于MOF衍生NiO中空纳米微球的室温NO_(2)气体传感器,并结合结构和形貌表征手段证明其成功制备。气敏测试结果表明,所制备的传感器在室温下对NO_(2)具有优异的响应恢复特性,检测限为0.5×10^(-6),并通过能带结构分析了整个气体传感过程。所制备的MOF衍生NiO中空纳米微球传感器为实现室温NO_(2)气体传感提供了理想的解决方案。 展开更多
关键词 NIO 气体传感器 纳米微球 中空多孔结构 室温传感
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Physical generation of random numbers using an asymmetrical Boolean network
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作者 Hai-Fang Liu Yun-Cai Wang +1 位作者 Lu-Xiao Sang Jian-Guo Zhang 《Chinese Physics B》 SCIE EI CAS CSCD 2021年第11期297-303,共7页
Autonomous Boolean networks(ABNs)have been successfully applied to the generation of random number due to their complex nonlinear dynamics and convenient on-chip integration.Most of the ABNs used for random number gen... Autonomous Boolean networks(ABNs)have been successfully applied to the generation of random number due to their complex nonlinear dynamics and convenient on-chip integration.Most of the ABNs used for random number generators show a symmetric topology,despite their oscillations dependent on the inconsistency of time delays along links.To address this issue,we suggest an asymmetrical autonomous Boolean network(aABN)and show numerically that it provides large amplitude oscillations by using equal time delays along links and the same logical gates.Experimental results show that the chaotic features of aABN are comparable to those of symmetric ABNs despite their being made of fewer nodes.Finally,we put forward a random number generator based on aABN and show that it generates the random numbers passing the NIST test suite at 100 Mbits/s.The unpredictability of the random numbers is analyzed by restarting the random number generator repeatedly.The aABN may replace symmetrical ABNs in many applications using fewer nodes and,in turn,reducing power consumption. 展开更多
关键词 autonomous Boolean networks random numbers CHAOS UNPREDICTABILITY
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