Ritamay Bhunia, Joo Sung Kim, Hayoung Oh, Dong Jun Kim, Seokyeong Lee, Cheolmin Park, Do Hwan Kim
{"title":"铁电辅助离子动力学在仿生传感器记忆系统中的长时间触觉认知","authors":"Ritamay Bhunia, Joo Sung Kim, Hayoung Oh, Dong Jun Kim, Seokyeong Lee, Cheolmin Park, Do Hwan Kim","doi":"10.1002/aelm.202400550","DOIUrl":null,"url":null,"abstract":"The advancements in developing low-powered artificial tactile cognition devices, inspired by the iontronic-reliant human haptic sensory system, show great potential in future robotics and prosthetics. However, poor tactile memory and the complexity of integrating diverse modules for tactile sensing and neuromorphic functionalities pose a formidable challenge. Here, a mechanoreceptor-inspired tactile memory-in-sensor (TMIS) device is presented, employing ferroelectric-assisted ion dynamics (FAID) in FAID-based synaptic tactile transistor (FAID-STT). This approach improves the long-term memory (LTM) of tactile information while minimizing power consumption, all within a unified device architecture of TMIS. The FAID mechanism intricately combines the release of trapped ions solely under mechanical stress with remnant ferroelectric polarization induced by voltage stimulation, ensuring prolonged memory retention. Consequently, the FAID-STT exhibits a voltage-dependent memory effect stemming from the augmentation of ferroelectric dipole polarization, offering uninterrupted tactile memory for over 12 min without requiring additional power inputs for memory retention.","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"47 1","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ferroelectric-Assisted Ion Dynamics for Prolonged Tactile Cognizance in a Biomimetic Memory-in-Sensor System\",\"authors\":\"Ritamay Bhunia, Joo Sung Kim, Hayoung Oh, Dong Jun Kim, Seokyeong Lee, Cheolmin Park, Do Hwan Kim\",\"doi\":\"10.1002/aelm.202400550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The advancements in developing low-powered artificial tactile cognition devices, inspired by the iontronic-reliant human haptic sensory system, show great potential in future robotics and prosthetics. However, poor tactile memory and the complexity of integrating diverse modules for tactile sensing and neuromorphic functionalities pose a formidable challenge. Here, a mechanoreceptor-inspired tactile memory-in-sensor (TMIS) device is presented, employing ferroelectric-assisted ion dynamics (FAID) in FAID-based synaptic tactile transistor (FAID-STT). This approach improves the long-term memory (LTM) of tactile information while minimizing power consumption, all within a unified device architecture of TMIS. The FAID mechanism intricately combines the release of trapped ions solely under mechanical stress with remnant ferroelectric polarization induced by voltage stimulation, ensuring prolonged memory retention. Consequently, the FAID-STT exhibits a voltage-dependent memory effect stemming from the augmentation of ferroelectric dipole polarization, offering uninterrupted tactile memory for over 12 min without requiring additional power inputs for memory retention.\",\"PeriodicalId\":110,\"journal\":{\"name\":\"Advanced Electronic Materials\",\"volume\":\"47 1\",\"pages\":\"\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Electronic Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1002/aelm.202400550\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Electronic Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/aelm.202400550","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
Ferroelectric-Assisted Ion Dynamics for Prolonged Tactile Cognizance in a Biomimetic Memory-in-Sensor System
The advancements in developing low-powered artificial tactile cognition devices, inspired by the iontronic-reliant human haptic sensory system, show great potential in future robotics and prosthetics. However, poor tactile memory and the complexity of integrating diverse modules for tactile sensing and neuromorphic functionalities pose a formidable challenge. Here, a mechanoreceptor-inspired tactile memory-in-sensor (TMIS) device is presented, employing ferroelectric-assisted ion dynamics (FAID) in FAID-based synaptic tactile transistor (FAID-STT). This approach improves the long-term memory (LTM) of tactile information while minimizing power consumption, all within a unified device architecture of TMIS. The FAID mechanism intricately combines the release of trapped ions solely under mechanical stress with remnant ferroelectric polarization induced by voltage stimulation, ensuring prolonged memory retention. Consequently, the FAID-STT exhibits a voltage-dependent memory effect stemming from the augmentation of ferroelectric dipole polarization, offering uninterrupted tactile memory for over 12 min without requiring additional power inputs for memory retention.
期刊介绍:
Advanced Electronic Materials is an interdisciplinary forum for peer-reviewed, high-quality, high-impact research in the fields of materials science, physics, and engineering of electronic and magnetic materials. It includes research on physics and physical properties of electronic and magnetic materials, spintronics, electronics, device physics and engineering, micro- and nano-electromechanical systems, and organic electronics, in addition to fundamental research.