An intelligent MXene/MoS_(2)acoustic sensor with high accuracy for mechano-acoustic recognition

作     者：Jingwen Chen Linlin Li Wenhao Ran Di Chen Lili Wang Guozhen Shen Jingwen Chen;Linlin Li;Wenhao Ran;Di Chen;Lili Wang;Guozhen Shen

作者机构：School of Mathematics and PhysicsUniversity of Science and Technology BeijingBeijing 100083China State Key Laboratory for Superlattices and MicrostructuresInstitute of SemiconductorsChinese Academy of SciencesBeijing 100083China Center of Materials Science and Optoelectronic EngineeringUniversity of Chinese Academy of SciencesBeijing 100083China School of Integrated Circuits and ElectronicsBeijing Institute of TechnologyBeijing 100081China 

出 版 物：《Nano Research》 (纳米研究（英文版）)

年 卷 期：2023年第16卷第2期

页      面：3180-3187页

核心收录：

学科分类：08[工学] 080202[工学-机械电子工程] 0802[工学-机械工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(Nos.51972025,61888102,and 62174152) the Young Elite Scientists Sponsorship Program by the China Association for Science and Technology(CAST)(No.2018QNRC001) the Strategic Priority Program of the Chinese Academy of Sciences(No.XDA16021100) the Science and Technology Development Plan of Jilin Province(No.20210101168JC). 

主　　题：MXene/MoS_(2) intelligent acoustic sensors machine learning high accuracy mechano-acoustic recognition ABSTRACT 

摘      要：Auditory systems are the most efficient and direct strategy for communication between human beings and robots.In this domain,flexible acoustic sensors with magnetic,electric,mechanical,and optic foundations have attracted significant attention as key parts of future voice user interfaces(VUIs)for intuitive human–machine interaction.This study investigated a novel machine learning-based voice recognition platform using an MXene/MoS_(2) flexible vibration sensor(FVS)with high sensitivity for acoustic recognition.The performance of the MXene/MoS_(2) FVS was systematically investigated both theoretically and experimentally,and the MXene/MoS_(2) FVS exhibited high sensitivity(25.8 mV/dB).An MXene/MoS_(2) FVS with a broadband response of 40–3,000 Hz was developed by designing a periodically ordered architecture featuring systematic optimization.This study also investigated a machine learning-based speaker recognition process,for which a machine-learning-based artificial neural network was designed and trained.The developed neural network achieved high speaker recognition accuracy(99.1%).