Intrinsically stretchable carbon nanotube synaptic transistors with associative learning ability and mechanical deformation response-Reference-Cited by-同舟云学术

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Intrinsically stretchable carbon nanotube synaptic transistors with associative learning ability and mechanical deformation response

Published:2022-04 Issue: Volume:189 Page:386-394
ISSN:0008-6223
Container-title:Carbon
language:en
Short-container-title:Carbon

Author:

Huang Weihong,Wang Yarong,Zhang Yiming,Zhu Jiahao,Liu Dexing,Wang Jiaxin,Fan Lingchong,Qiu Rui^ORCID,Zhang Min^ORCID

Funder

Shenzhen Fundamental Research and Discipline Layout Project

Shenzhen Fundamental Research Program

National Natural Science Foundation of China

Shenzhen Science and Technology Innovation Program

Shenzhen Science and Technology Innovation Commission

Publisher

Elsevier BV

Subject

General Chemistry,General Materials Science

Reference57 articles.

1. A system hierarchy for brain-inspired computing;Zhang;Nature,2020

2. Neuromorphic circuits impart a sense of touch;Bartolozzi;Science,2018

3. Neuromorphic nanoelectronic materials;Sangwan;Nat. Nanotechnol.,2020

4. Solution-processed electronics for artificial synapses;Lu;Mater. Horizons,2021

5. A bioinspired flexible organic artificial afferent nerve;Kim;Science,2018

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1. Skin-like n-type stretchable synaptic transistors with low energy consumption and highly reliable plasticity for brain-inspired computing;Nano Energy;2024-09

2. Intrinsically stretchable tribotronic mechanoplastic artificial synapse;Chemical Engineering Journal;2024-07

3. Enhancement-Mode Carbon Nanotube Optoelectronic Synaptic Transistors with Large and Controllable Threshold Voltage Modulation Window for Broadband Flexible Vision Systems;ACS Nano;2024-05-24

4. Neuromorphic Nanoionics for Human–Machine Interaction: From Materials to Applications;Advanced Materials;2024-03-11

5. Intrinsically Stretchable Tribotronic Mechanoplastic Artificial Synapse;2024

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