Cargando…
Oxidation-boosted charge trapping in ultra-sensitive van der Waals materials for artificial synaptic features
Exploitation of the oxidation behaviour in an environmentally sensitive semiconductor is significant to modulate its electronic properties and develop unique applications. Here, we demonstrate a native oxidation-inspired InSe field-effect transistor as an artificial synapse in device level that bene...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293344/ https://www.ncbi.nlm.nih.gov/pubmed/32532980 http://dx.doi.org/10.1038/s41467-020-16766-9 |
_version_ | 1783546284227952640 |
---|---|
author | Yang, Feng-Shou Li, Mengjiao Lee, Mu-Pai Ho, I-Ying Chen, Jiann-Yeu Ling, Haifeng Li, Yuanzhe Chang, Jen-Kuei Yang, Shih-Hsien Chang, Yuan-Ming Lee, Ko-Chun Chou, Yi-Chia Ho, Ching-Hwa Li, Wenwu Lien, Chen-Hsin Lin, Yen-Fu |
author_facet | Yang, Feng-Shou Li, Mengjiao Lee, Mu-Pai Ho, I-Ying Chen, Jiann-Yeu Ling, Haifeng Li, Yuanzhe Chang, Jen-Kuei Yang, Shih-Hsien Chang, Yuan-Ming Lee, Ko-Chun Chou, Yi-Chia Ho, Ching-Hwa Li, Wenwu Lien, Chen-Hsin Lin, Yen-Fu |
author_sort | Yang, Feng-Shou |
collection | PubMed |
description | Exploitation of the oxidation behaviour in an environmentally sensitive semiconductor is significant to modulate its electronic properties and develop unique applications. Here, we demonstrate a native oxidation-inspired InSe field-effect transistor as an artificial synapse in device level that benefits from the boosted charge trapping under ambient conditions. A thin InO(x) layer is confirmed under the InSe channel, which can serve as an effective charge trapping layer for information storage. The dynamic characteristic measurement is further performed to reveal the corresponding uniform charge trapping and releasing process, which coincides with its surface-effect-governed carrier fluctuations. As a result, the oxide-decorated InSe device exhibits nonvolatile memory characteristics with flexible programming/erasing operations. Furthermore, an InSe-based artificial synapse is implemented to emulate the essential synaptic functions. The pattern recognition capability of the designed artificial neural network is believed to provide an excellent paradigm for ultra-sensitive van der Waals materials to develop electric-modulated neuromorphic computation architectures. |
format | Online Article Text |
id | pubmed-7293344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72933442020-06-16 Oxidation-boosted charge trapping in ultra-sensitive van der Waals materials for artificial synaptic features Yang, Feng-Shou Li, Mengjiao Lee, Mu-Pai Ho, I-Ying Chen, Jiann-Yeu Ling, Haifeng Li, Yuanzhe Chang, Jen-Kuei Yang, Shih-Hsien Chang, Yuan-Ming Lee, Ko-Chun Chou, Yi-Chia Ho, Ching-Hwa Li, Wenwu Lien, Chen-Hsin Lin, Yen-Fu Nat Commun Article Exploitation of the oxidation behaviour in an environmentally sensitive semiconductor is significant to modulate its electronic properties and develop unique applications. Here, we demonstrate a native oxidation-inspired InSe field-effect transistor as an artificial synapse in device level that benefits from the boosted charge trapping under ambient conditions. A thin InO(x) layer is confirmed under the InSe channel, which can serve as an effective charge trapping layer for information storage. The dynamic characteristic measurement is further performed to reveal the corresponding uniform charge trapping and releasing process, which coincides with its surface-effect-governed carrier fluctuations. As a result, the oxide-decorated InSe device exhibits nonvolatile memory characteristics with flexible programming/erasing operations. Furthermore, an InSe-based artificial synapse is implemented to emulate the essential synaptic functions. The pattern recognition capability of the designed artificial neural network is believed to provide an excellent paradigm for ultra-sensitive van der Waals materials to develop electric-modulated neuromorphic computation architectures. Nature Publishing Group UK 2020-06-12 /pmc/articles/PMC7293344/ /pubmed/32532980 http://dx.doi.org/10.1038/s41467-020-16766-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Yang, Feng-Shou Li, Mengjiao Lee, Mu-Pai Ho, I-Ying Chen, Jiann-Yeu Ling, Haifeng Li, Yuanzhe Chang, Jen-Kuei Yang, Shih-Hsien Chang, Yuan-Ming Lee, Ko-Chun Chou, Yi-Chia Ho, Ching-Hwa Li, Wenwu Lien, Chen-Hsin Lin, Yen-Fu Oxidation-boosted charge trapping in ultra-sensitive van der Waals materials for artificial synaptic features |
title | Oxidation-boosted charge trapping in ultra-sensitive van der Waals materials for artificial synaptic features |
title_full | Oxidation-boosted charge trapping in ultra-sensitive van der Waals materials for artificial synaptic features |
title_fullStr | Oxidation-boosted charge trapping in ultra-sensitive van der Waals materials for artificial synaptic features |
title_full_unstemmed | Oxidation-boosted charge trapping in ultra-sensitive van der Waals materials for artificial synaptic features |
title_short | Oxidation-boosted charge trapping in ultra-sensitive van der Waals materials for artificial synaptic features |
title_sort | oxidation-boosted charge trapping in ultra-sensitive van der waals materials for artificial synaptic features |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293344/ https://www.ncbi.nlm.nih.gov/pubmed/32532980 http://dx.doi.org/10.1038/s41467-020-16766-9 |
work_keys_str_mv | AT yangfengshou oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT limengjiao oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT leemupai oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT hoiying oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT chenjiannyeu oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT linghaifeng oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT liyuanzhe oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT changjenkuei oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT yangshihhsien oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT changyuanming oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT leekochun oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT chouyichia oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT hochinghwa oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT liwenwu oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT lienchenhsin oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures AT linyenfu oxidationboostedchargetrappinginultrasensitivevanderwaalsmaterialsforartificialsynapticfeatures |