Tactile Neuromorphic System: Convergence of Triboelectric Polymer Sensor and Ferroelectric Polymer Synapse.

P(VDF-TrFE) PDMS artificial synapses neuromorphic computing pattern recognition tactile neuromorphic system triboelectric sensor

Journal

ACS nano
ISSN: 1936-086X
Titre abrégé: ACS Nano
Pays: United States
ID NLM: 101313589

Informations de publication

Date de publication:
12 Sep 2023
Historique:
medline: 23 8 2023
pubmed: 23 8 2023
entrez: 23 8 2023
Statut: ppublish

Résumé

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 (MoS

Identifiants

pubmed: 37611149
doi: 10.1021/acsnano.3c05337
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

17332-17341

Auteurs

Hyeongjun Kim (H)

Department of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon 16419, South Korea.

Seyong Oh (S)

Division of Electrical Engineering, Hanyang University ERICA, Ansan 15588, South Korea.

Hyongsuk Choo (H)

Department of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon 16419, South Korea.

Dong-Ho Kang (DH)

School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, South Korea.

Jin-Hong Park (JH)

Department of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon 16419, South Korea.
SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University (SKKU), Suwon 16417, Korea.

Classifications MeSH