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Computational study of the water-driven graphene wrinkle life-cycle towards applications in flexible electronics
The ubiquitous presence of wrinkles in two-dimensional materials alters their properties significantly. It is observed that during the growth process of graphene, water molecules, sourced from ambient humidity or transferred method used, can get diffused in between graphene and the substrate. The wa...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347945/ https://www.ncbi.nlm.nih.gov/pubmed/32647172 http://dx.doi.org/10.1038/s41598-020-68080-5 |
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author | Kashyap, Jatin Yang, Eui-Hyeok Datta, Dibakar |
author_facet | Kashyap, Jatin Yang, Eui-Hyeok Datta, Dibakar |
author_sort | Kashyap, Jatin |
collection | PubMed |
description | The ubiquitous presence of wrinkles in two-dimensional materials alters their properties significantly. It is observed that during the growth process of graphene, water molecules, sourced from ambient humidity or transferred method used, can get diffused in between graphene and the substrate. The water diffusion causes/assists wrinkle formation in graphene, which influences its properties. The diffused water eventually dries, altering the geometrical parameters and properties of wrinkled graphene nanoribbons. Our study reveals that the initially distributed wrinkles tend to coalesce to form a localized wrinkle whose configuration depends on the initial wrinkle geometry and the quantity of the diffused water. The movement of the localized wrinkle is categorized into three modes—bending, buckling, and sliding. The sliding mode is characterized in terms of velocity as a function of diffused water quantity. Direct bandgap increases linearly with the initial angle except the highest angle considered (21°), which can be attributed to the electron tunneling effect observed in the orbital analysis. The system becomes stable with an increase in the initial angle of wrinkle as observed from the potential energy plots extracted from MD trajectories and confirmed with the DOS plot. The maximum stress generated is less than the plastic limit of the graphene. |
format | Online Article Text |
id | pubmed-7347945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73479452020-07-14 Computational study of the water-driven graphene wrinkle life-cycle towards applications in flexible electronics Kashyap, Jatin Yang, Eui-Hyeok Datta, Dibakar Sci Rep Article The ubiquitous presence of wrinkles in two-dimensional materials alters their properties significantly. It is observed that during the growth process of graphene, water molecules, sourced from ambient humidity or transferred method used, can get diffused in between graphene and the substrate. The water diffusion causes/assists wrinkle formation in graphene, which influences its properties. The diffused water eventually dries, altering the geometrical parameters and properties of wrinkled graphene nanoribbons. Our study reveals that the initially distributed wrinkles tend to coalesce to form a localized wrinkle whose configuration depends on the initial wrinkle geometry and the quantity of the diffused water. The movement of the localized wrinkle is categorized into three modes—bending, buckling, and sliding. The sliding mode is characterized in terms of velocity as a function of diffused water quantity. Direct bandgap increases linearly with the initial angle except the highest angle considered (21°), which can be attributed to the electron tunneling effect observed in the orbital analysis. The system becomes stable with an increase in the initial angle of wrinkle as observed from the potential energy plots extracted from MD trajectories and confirmed with the DOS plot. The maximum stress generated is less than the plastic limit of the graphene. Nature Publishing Group UK 2020-07-09 /pmc/articles/PMC7347945/ /pubmed/32647172 http://dx.doi.org/10.1038/s41598-020-68080-5 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 Kashyap, Jatin Yang, Eui-Hyeok Datta, Dibakar Computational study of the water-driven graphene wrinkle life-cycle towards applications in flexible electronics |
title | Computational study of the water-driven graphene wrinkle life-cycle towards applications in flexible electronics |
title_full | Computational study of the water-driven graphene wrinkle life-cycle towards applications in flexible electronics |
title_fullStr | Computational study of the water-driven graphene wrinkle life-cycle towards applications in flexible electronics |
title_full_unstemmed | Computational study of the water-driven graphene wrinkle life-cycle towards applications in flexible electronics |
title_short | Computational study of the water-driven graphene wrinkle life-cycle towards applications in flexible electronics |
title_sort | computational study of the water-driven graphene wrinkle life-cycle towards applications in flexible electronics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347945/ https://www.ncbi.nlm.nih.gov/pubmed/32647172 http://dx.doi.org/10.1038/s41598-020-68080-5 |
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