Perovskite/Organic Semiconductor-Based Photonic Synaptic Transistor for Artificial Visual System.

artificial visual systems light logic functions low electrical energy consumption organic semiconductors perovskites photonic synaptic transistors

Journal

ACS applied materials & interfaces
ISSN: 1944-8252
Titre abrégé: ACS Appl Mater Interfaces
Pays: United States
ID NLM: 101504991

Informations de publication

Date de publication:
02 Sep 2020
Historique:
pubmed: 19 8 2020
medline: 19 8 2020
entrez: 19 8 2020
Statut: ppublish

Résumé

Artificial visual system with information sensing, processing, and memory function is promoting the development of artificial intelligence techniques. Photonic synapse as an essential component can enhance the visual information processing efficiency owing to the high propagation speed, low latency, and large bandwidth. Herein, photonic synaptic transistors based on organic semiconductor poly[2,5-(2-octyldodecyl)-3,6-diketopyrrolopyrrole-alt-5,5-(2,5-di(thien-2-yl)thieno [3,2-b]thiophene)] (DPPDTT) and perovskite CsPbBr

Identifiants

pubmed: 32805934
doi: 10.1021/acsami.0c10851
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

39487-39495

Auteurs

Dandan Hao (D)

Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 201804, P. R. China.

Junyao Zhang (J)

Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 201804, P. R. China.

Shilei Dai (S)

Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 201804, P. R. China.

Jianhua Zhang (J)

Key Laboratory of Advanced Display and System Application, Ministry of Education, Shanghai University, Shanghai 200072, P. R. China.

Jia Huang (J)

Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 201804, P. R. China.

Classifications MeSH