Cargando…

Emerging Opportunities for 2D Materials in Neuromorphic Computing

Recently, two-dimensional (2D) materials and their heterostructures have been recognized as the foundation for future brain-like neuromorphic computing devices. Two-dimensional materials possess unique characteristics such as near-atomic thickness, dangling-bond-free surfaces, and excellent mechanic...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Chenyin, Wu, Wenwei, Liu, Huidi, Wang, Junke, Wan, Houzhao, Ma, Guokun, Wang, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574516/
https://www.ncbi.nlm.nih.gov/pubmed/37836361
http://dx.doi.org/10.3390/nano13192720
_version_ 1785120712577515520
author Feng, Chenyin
Wu, Wenwei
Liu, Huidi
Wang, Junke
Wan, Houzhao
Ma, Guokun
Wang, Hao
author_facet Feng, Chenyin
Wu, Wenwei
Liu, Huidi
Wang, Junke
Wan, Houzhao
Ma, Guokun
Wang, Hao
author_sort Feng, Chenyin
collection PubMed
description Recently, two-dimensional (2D) materials and their heterostructures have been recognized as the foundation for future brain-like neuromorphic computing devices. Two-dimensional materials possess unique characteristics such as near-atomic thickness, dangling-bond-free surfaces, and excellent mechanical properties. These features, which traditional electronic materials cannot achieve, hold great promise for high-performance neuromorphic computing devices with the advantages of high energy efficiency and integration density. This article provides a comprehensive overview of various 2D materials, including graphene, transition metal dichalcogenides (TMDs), hexagonal boron nitride (h-BN), and black phosphorus (BP), for neuromorphic computing applications. The potential of these materials in neuromorphic computing is discussed from the perspectives of material properties, growth methods, and device operation principles.
format Online
Article
Text
id pubmed-10574516
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-105745162023-10-14 Emerging Opportunities for 2D Materials in Neuromorphic Computing Feng, Chenyin Wu, Wenwei Liu, Huidi Wang, Junke Wan, Houzhao Ma, Guokun Wang, Hao Nanomaterials (Basel) Review Recently, two-dimensional (2D) materials and their heterostructures have been recognized as the foundation for future brain-like neuromorphic computing devices. Two-dimensional materials possess unique characteristics such as near-atomic thickness, dangling-bond-free surfaces, and excellent mechanical properties. These features, which traditional electronic materials cannot achieve, hold great promise for high-performance neuromorphic computing devices with the advantages of high energy efficiency and integration density. This article provides a comprehensive overview of various 2D materials, including graphene, transition metal dichalcogenides (TMDs), hexagonal boron nitride (h-BN), and black phosphorus (BP), for neuromorphic computing applications. The potential of these materials in neuromorphic computing is discussed from the perspectives of material properties, growth methods, and device operation principles. MDPI 2023-10-07 /pmc/articles/PMC10574516/ /pubmed/37836361 http://dx.doi.org/10.3390/nano13192720 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Feng, Chenyin
Wu, Wenwei
Liu, Huidi
Wang, Junke
Wan, Houzhao
Ma, Guokun
Wang, Hao
Emerging Opportunities for 2D Materials in Neuromorphic Computing
title Emerging Opportunities for 2D Materials in Neuromorphic Computing
title_full Emerging Opportunities for 2D Materials in Neuromorphic Computing
title_fullStr Emerging Opportunities for 2D Materials in Neuromorphic Computing
title_full_unstemmed Emerging Opportunities for 2D Materials in Neuromorphic Computing
title_short Emerging Opportunities for 2D Materials in Neuromorphic Computing
title_sort emerging opportunities for 2d materials in neuromorphic computing
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574516/
https://www.ncbi.nlm.nih.gov/pubmed/37836361
http://dx.doi.org/10.3390/nano13192720
work_keys_str_mv AT fengchenyin emergingopportunitiesfor2dmaterialsinneuromorphiccomputing
AT wuwenwei emergingopportunitiesfor2dmaterialsinneuromorphiccomputing
AT liuhuidi emergingopportunitiesfor2dmaterialsinneuromorphiccomputing
AT wangjunke emergingopportunitiesfor2dmaterialsinneuromorphiccomputing
AT wanhouzhao emergingopportunitiesfor2dmaterialsinneuromorphiccomputing
AT maguokun emergingopportunitiesfor2dmaterialsinneuromorphiccomputing
AT wanghao emergingopportunitiesfor2dmaterialsinneuromorphiccomputing