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Wrinkles, Ridges, Miura-Ori, and Moiré Patterns in MoSe(2) Using Neural Networks
[Image: see text] Effects of lateral compression on out-of-plane deformation of two-dimensional MoSe(2) layers are investigated. A MoSe(2) monolayer develops periodic wrinkles under uniaxial compression and Miura-Ori patterns under biaxial compression. When a flat MoSe(2) monolayer is placed on top...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940294/ https://www.ncbi.nlm.nih.gov/pubmed/36757778 http://dx.doi.org/10.1021/acs.jpclett.2c03539 |
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author | Aditya, Anikeya Mishra, Ankit Baradwaj, Nitish Nomura, Ken-ichi Nakano, Aiichiro Vashishta, Priya Kalia, Rajiv K. |
author_facet | Aditya, Anikeya Mishra, Ankit Baradwaj, Nitish Nomura, Ken-ichi Nakano, Aiichiro Vashishta, Priya Kalia, Rajiv K. |
author_sort | Aditya, Anikeya |
collection | PubMed |
description | [Image: see text] Effects of lateral compression on out-of-plane deformation of two-dimensional MoSe(2) layers are investigated. A MoSe(2) monolayer develops periodic wrinkles under uniaxial compression and Miura-Ori patterns under biaxial compression. When a flat MoSe(2) monolayer is placed on top of a wrinkled MoSe(2) layer, the van der Waals (vdW) interaction transforms wrinkles into ridges and generates mixed 2H and 1T phases and chain-like defects. Under a biaxial strain, the vdW interaction induces regions of Miura-Ori patterns in bilayers. Strained systems analyzed using a convolutional neural network show that the compressed system consists of semiconducting 2H and metallic 1T phases. The energetics, mechanical response, defect structure, and dynamics are analyzed as bilayers undergo wrinkle–ridge transformations under uniaxial compression and moiré transformations under biaxial compression. Our results indicate that in-plane compression can induce self-assembly of out-of-plane metasurfaces with controllable semiconducting and metallic phases and moiré patterns with unique optoelectronic properties. |
format | Online Article Text |
id | pubmed-9940294 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-99402942023-02-21 Wrinkles, Ridges, Miura-Ori, and Moiré Patterns in MoSe(2) Using Neural Networks Aditya, Anikeya Mishra, Ankit Baradwaj, Nitish Nomura, Ken-ichi Nakano, Aiichiro Vashishta, Priya Kalia, Rajiv K. J Phys Chem Lett [Image: see text] Effects of lateral compression on out-of-plane deformation of two-dimensional MoSe(2) layers are investigated. A MoSe(2) monolayer develops periodic wrinkles under uniaxial compression and Miura-Ori patterns under biaxial compression. When a flat MoSe(2) monolayer is placed on top of a wrinkled MoSe(2) layer, the van der Waals (vdW) interaction transforms wrinkles into ridges and generates mixed 2H and 1T phases and chain-like defects. Under a biaxial strain, the vdW interaction induces regions of Miura-Ori patterns in bilayers. Strained systems analyzed using a convolutional neural network show that the compressed system consists of semiconducting 2H and metallic 1T phases. The energetics, mechanical response, defect structure, and dynamics are analyzed as bilayers undergo wrinkle–ridge transformations under uniaxial compression and moiré transformations under biaxial compression. Our results indicate that in-plane compression can induce self-assembly of out-of-plane metasurfaces with controllable semiconducting and metallic phases and moiré patterns with unique optoelectronic properties. American Chemical Society 2023-02-09 /pmc/articles/PMC9940294/ /pubmed/36757778 http://dx.doi.org/10.1021/acs.jpclett.2c03539 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Aditya, Anikeya Mishra, Ankit Baradwaj, Nitish Nomura, Ken-ichi Nakano, Aiichiro Vashishta, Priya Kalia, Rajiv K. Wrinkles, Ridges, Miura-Ori, and Moiré Patterns in MoSe(2) Using Neural Networks |
title | Wrinkles, Ridges, Miura-Ori, and Moiré Patterns
in MoSe(2) Using Neural Networks |
title_full | Wrinkles, Ridges, Miura-Ori, and Moiré Patterns
in MoSe(2) Using Neural Networks |
title_fullStr | Wrinkles, Ridges, Miura-Ori, and Moiré Patterns
in MoSe(2) Using Neural Networks |
title_full_unstemmed | Wrinkles, Ridges, Miura-Ori, and Moiré Patterns
in MoSe(2) Using Neural Networks |
title_short | Wrinkles, Ridges, Miura-Ori, and Moiré Patterns
in MoSe(2) Using Neural Networks |
title_sort | wrinkles, ridges, miura-ori, and moiré patterns
in mose(2) using neural networks |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940294/ https://www.ncbi.nlm.nih.gov/pubmed/36757778 http://dx.doi.org/10.1021/acs.jpclett.2c03539 |
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