Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 오세용 | - |
dc.date.accessioned | 2023-12-22T01:49:00Z | - |
dc.date.available | 2023-12-22T01:49:00Z | - |
dc.date.issued | 2023-08 | - |
dc.identifier.citation | ACS Nano, v. 17, NO. 17, Page. 17332.0-17341.0 | - |
dc.identifier.issn | 1936-0851;1936-086X | - |
dc.identifier.uri | https://pubs.acs.org/doi/10.1021/acsnano.3c05337 | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/187831 | - |
dc.description.abstract | Sensory neuromorphic systems are a promising technology, because they can replicate the way the human peripheral nervous system processes signals from the five sensory organs. Despite this potential, there are limited studies on how to implement these systems on a hardware neural network platform. In our research, we propose a tactile neuromorphic system that uses a poly(dimethylsiloxane) (PDMS)-based triboelectric sensor and a molybdenum disulfide (MoS2)/poly(vinylidene fluoride-trifluoro ethylene) (P(VDF-TrFE)) heterostructure-based ferroelectric synapse. The triboelectric sensor mimics a human tactile organ by converting tactile stimuli into electrical signals in real time. The ferroelectric synapse we developed demonstrates exceptional long-term potentiation/depression characteristics with a maximum dynamic range of 78 and a symmetrical value of 4.7. To assess the practicality of our proposed system, we conducted training and recognition simulations using Morse code alphabets and MNIST handwritten digits. The maximum recognition rate that we achieved was 96.17%. © 2023 American Chemical Society. | - |
dc.description.sponsorship | This research was supported by the National Research Foundation of Korea (NRF) (2022M3F3A2A01072215, 2021R1A2C2010026, 2022R1F1A1076275). This work was also supported by the Technology Innovation Program (or Industrial Strategic Technology Development Program) (RS-2023-00235609, Proposal of 3D DRAM development direction from the process development of vertical stacked cell transistors) funded By the Ministry of Trade, Industry & Energy (MOTIE, Korea) (1415187471). | - |
dc.language | en | - |
dc.publisher | American Chemical Society | - |
dc.subject | artificial synapses | - |
dc.subject | neuromorphic computing | - |
dc.subject | P(VDF-TrFE) | - |
dc.subject | pattern recognition | - |
dc.subject | PDMS | - |
dc.subject | tactile neuromorphic system | - |
dc.subject | triboelectric sensor | - |
dc.title | Tactile Neuromorphic System: Convergence of Triboelectric Polymer Sensor and Ferroelectric Polymer Synapse | - |
dc.type | Article | - |
dc.relation.no | 17 | - |
dc.relation.volume | 17 | - |
dc.identifier.doi | 10.1021/acsnano.3c05337 | - |
dc.relation.page | 17332.0-17341.0 | - |
dc.relation.journal | ACS Nano | - |
dc.contributor.googleauthor | Kim, Hyeongjun | - |
dc.contributor.googleauthor | Oh, Seyong | - |
dc.contributor.googleauthor | Choo, Hyongsuk | - |
dc.contributor.googleauthor | Kang, Dong-Ho | - |
dc.contributor.googleauthor | Park, Jin-Hong | - |
dc.sector.campus | E | - |
dc.sector.daehak | 공학대학 | - |
dc.sector.department | 전자공학부 | - |
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