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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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 |
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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 |
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