2022年第69回応用物理学会春季学術講演会

講演情報

一般セッション(口頭講演)

17 ナノカーボン » 17.2 グラフェン

[25p-E102-1~19] 17.2 グラフェン

2022年3月25日(金) 13:30 〜 18:30 E102 (E102)

小川 新平(三菱電機)、中払 周(物材機構)

16:45 〜 17:00

[25p-E102-13] Windowed histogram for RTS analysis in graphene gaseous sensors.

〇(DC)Alexandro Nogueira1、Manoharan Muruganathan1、Hiroshi Mizuta1 (1.JAIST)

キーワード:Graphene, Gas sensor, Random Telegraph Signal

Analysis of Random Telegraph Signal (RTS) of graphene sensors might be useful for gas identification. However, graphene sensors suffer from small and slow variations in the resistance during the measurement time, making it harder to analyze the RTS. To solve this problem, the use of windowed histogram was proposed. The method was applied on a suspended graphene device in argon environment, and the feasibility of the method was demonstrated.