| アイテムタイプ |
学術雑誌論文 = Journal Article(1) |
| 公開日 |
2023-09-05 |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| タイトル |
|
|
タイトル |
In-materio computing in random networks of carbon nanotubes complexed with chemically dynamic molecules: a review |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 著者 |
田中, 啓文
Azhari, S
宇佐美, 雄生
Banerjee, D
Kotooka, T
Srikimkaew, O
Dang, T-T
Murazoe, S
Oyabu, R
Kimizuka, K
Hakoshima, M
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
The need for highly energy-efficient information processing has sparked a new age of material-based computational devices. Among these, random networks (RNWs) of carbon nanotubes (CNTs) complexed with other materials have been extensively investigated owing to their extraordinary characteristics. However, the heterogeneity of CNT research has made it quite challenging to comprehend the necessary features of in-materio computing in a RNW of CNTs. Herein, we systematically tackle the topic by reviewing the progress of CNT applications, from the discovery of individual CNT conduction to their recent uses in neuromorphic and unconventional (reservoir) computing. This review catalogues the extraordinary abilities of random CNT networks and their complexes used to conduct nonlinear in-materio computing tasks as well as classification tasks that may replace current energy-inefficient systems. |
| 書誌情報 |
en : Neuromorphic Computing and Engineering
巻 2,
号 2,
p. 22002,
発行日 2022-05-20
|
| 出版社 |
|
|
出版者 |
IOP Publishing |
| DOI |
|
|
関連タイプ |
isIdenticalTo |
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.1088/2634-4386/ac676a |
| ISSN |
|
|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
2634-4386 |
| 著作権関連情報 |
|
|
権利情報Resource |
https://creativecommons.org/licenses/by/4.0/ |
|
権利情報 |
Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
reservoir computing |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
neuromorphic |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
neural network |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
deep learning |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
non-linearity |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
artificial intelligence |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 査読の有無 |
|
|
値 |
yes |
neuro_28.pdf (4.9 MB)
