Cargando…

Advanced atomic force microscopy-based techniques for nanoscale characterization of switching devices for emerging neuromorphic applications

Neuromorphic systems require integrated structures with high-density memory and selector devices to avoid interference and recognition errors between neighboring memory cells. To improve the performance of a selector device, it is important to understand the characteristics of the switching process....

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Young-Min, Lee, Jihye, Jeon, Deok-Jin, Oh, Si-Eun, Yeo, Jong-Souk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155164/
https://www.ncbi.nlm.nih.gov/pubmed/34037869
http://dx.doi.org/10.1186/s42649-021-00056-9
_version_ 1783699147857068032
author Kim, Young-Min
Lee, Jihye
Jeon, Deok-Jin
Oh, Si-Eun
Yeo, Jong-Souk
author_facet Kim, Young-Min
Lee, Jihye
Jeon, Deok-Jin
Oh, Si-Eun
Yeo, Jong-Souk
author_sort Kim, Young-Min
collection PubMed
description Neuromorphic systems require integrated structures with high-density memory and selector devices to avoid interference and recognition errors between neighboring memory cells. To improve the performance of a selector device, it is important to understand the characteristics of the switching process. As changes by switching cycle occur at local nanoscale areas, a high-resolution analysis method is needed to investigate this phenomenon. Atomic force microscopy (AFM) is used to analyze the local changes because it offers nanoscale detection with high-resolution capabilities. This review introduces various types of AFM such as conductive AFM (C-AFM), electrostatic force microscopy (EFM), and Kelvin probe force microscopy (KPFM) to study switching behaviors.
format Online
Article
Text
id pubmed-8155164
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer Singapore
record_format MEDLINE/PubMed
spelling pubmed-81551642021-06-17 Advanced atomic force microscopy-based techniques for nanoscale characterization of switching devices for emerging neuromorphic applications Kim, Young-Min Lee, Jihye Jeon, Deok-Jin Oh, Si-Eun Yeo, Jong-Souk Appl Microsc Review Neuromorphic systems require integrated structures with high-density memory and selector devices to avoid interference and recognition errors between neighboring memory cells. To improve the performance of a selector device, it is important to understand the characteristics of the switching process. As changes by switching cycle occur at local nanoscale areas, a high-resolution analysis method is needed to investigate this phenomenon. Atomic force microscopy (AFM) is used to analyze the local changes because it offers nanoscale detection with high-resolution capabilities. This review introduces various types of AFM such as conductive AFM (C-AFM), electrostatic force microscopy (EFM), and Kelvin probe force microscopy (KPFM) to study switching behaviors. Springer Singapore 2021-05-26 /pmc/articles/PMC8155164/ /pubmed/34037869 http://dx.doi.org/10.1186/s42649-021-00056-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Kim, Young-Min
Lee, Jihye
Jeon, Deok-Jin
Oh, Si-Eun
Yeo, Jong-Souk
Advanced atomic force microscopy-based techniques for nanoscale characterization of switching devices for emerging neuromorphic applications
title Advanced atomic force microscopy-based techniques for nanoscale characterization of switching devices for emerging neuromorphic applications
title_full Advanced atomic force microscopy-based techniques for nanoscale characterization of switching devices for emerging neuromorphic applications
title_fullStr Advanced atomic force microscopy-based techniques for nanoscale characterization of switching devices for emerging neuromorphic applications
title_full_unstemmed Advanced atomic force microscopy-based techniques for nanoscale characterization of switching devices for emerging neuromorphic applications
title_short Advanced atomic force microscopy-based techniques for nanoscale characterization of switching devices for emerging neuromorphic applications
title_sort advanced atomic force microscopy-based techniques for nanoscale characterization of switching devices for emerging neuromorphic applications
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155164/
https://www.ncbi.nlm.nih.gov/pubmed/34037869
http://dx.doi.org/10.1186/s42649-021-00056-9
work_keys_str_mv AT kimyoungmin advancedatomicforcemicroscopybasedtechniquesfornanoscalecharacterizationofswitchingdevicesforemergingneuromorphicapplications
AT leejihye advancedatomicforcemicroscopybasedtechniquesfornanoscalecharacterizationofswitchingdevicesforemergingneuromorphicapplications
AT jeondeokjin advancedatomicforcemicroscopybasedtechniquesfornanoscalecharacterizationofswitchingdevicesforemergingneuromorphicapplications
AT ohsieun advancedatomicforcemicroscopybasedtechniquesfornanoscalecharacterizationofswitchingdevicesforemergingneuromorphicapplications
AT yeojongsouk advancedatomicforcemicroscopybasedtechniquesfornanoscalecharacterizationofswitchingdevicesforemergingneuromorphicapplications