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Memory from coupled instabilities in unfolded crumpled sheets
Crumpling an ordinary thin sheet transforms it into a structure with unusual mechanical behaviors, such as enhanced rigidity, emission of crackling noise, slow relaxations, and memory retention. A central challenge in explaining these behaviors lies in understanding the contribution of the complex g...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9282240/ https://www.ncbi.nlm.nih.gov/pubmed/35867743 http://dx.doi.org/10.1073/pnas.2200028119 |
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author | Shohat, Dor Hexner, Daniel Lahini, Yoav |
author_facet | Shohat, Dor Hexner, Daniel Lahini, Yoav |
author_sort | Shohat, Dor |
collection | PubMed |
description | Crumpling an ordinary thin sheet transforms it into a structure with unusual mechanical behaviors, such as enhanced rigidity, emission of crackling noise, slow relaxations, and memory retention. A central challenge in explaining these behaviors lies in understanding the contribution of the complex geometry of the sheet. Here we combine cyclic driving protocols and three-dimensional (3D) imaging to correlate the global mechanical response and the underlying geometric transformations in unfolded crumpled sheets. We find that their response to cyclic strain is intermittent, hysteretic, and encodes a memory of the largest applied compression. Using 3D imaging we show that these behaviors emerge due to an interplay between localized and interacting geometric instabilities in the sheet. A simple model confirms that these minimal ingredients are sufficient to explain the observed behaviors. Finally, we show that after training, multiple memories can be encoded, a phenomenon known as return point memory. Our study lays the foundation for understanding the complex mechanics of crumpled sheets and presents an experimental and theoretical framework for the study of memory formation in systems of interacting instabilities. |
format | Online Article Text |
id | pubmed-9282240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-92822402023-01-06 Memory from coupled instabilities in unfolded crumpled sheets Shohat, Dor Hexner, Daniel Lahini, Yoav Proc Natl Acad Sci U S A Physical Sciences Crumpling an ordinary thin sheet transforms it into a structure with unusual mechanical behaviors, such as enhanced rigidity, emission of crackling noise, slow relaxations, and memory retention. A central challenge in explaining these behaviors lies in understanding the contribution of the complex geometry of the sheet. Here we combine cyclic driving protocols and three-dimensional (3D) imaging to correlate the global mechanical response and the underlying geometric transformations in unfolded crumpled sheets. We find that their response to cyclic strain is intermittent, hysteretic, and encodes a memory of the largest applied compression. Using 3D imaging we show that these behaviors emerge due to an interplay between localized and interacting geometric instabilities in the sheet. A simple model confirms that these minimal ingredients are sufficient to explain the observed behaviors. Finally, we show that after training, multiple memories can be encoded, a phenomenon known as return point memory. Our study lays the foundation for understanding the complex mechanics of crumpled sheets and presents an experimental and theoretical framework for the study of memory formation in systems of interacting instabilities. National Academy of Sciences 2022-07-06 2022-07-12 /pmc/articles/PMC9282240/ /pubmed/35867743 http://dx.doi.org/10.1073/pnas.2200028119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Physical Sciences Shohat, Dor Hexner, Daniel Lahini, Yoav Memory from coupled instabilities in unfolded crumpled sheets |
title | Memory from coupled instabilities in unfolded crumpled sheets |
title_full | Memory from coupled instabilities in unfolded crumpled sheets |
title_fullStr | Memory from coupled instabilities in unfolded crumpled sheets |
title_full_unstemmed | Memory from coupled instabilities in unfolded crumpled sheets |
title_short | Memory from coupled instabilities in unfolded crumpled sheets |
title_sort | memory from coupled instabilities in unfolded crumpled sheets |
topic | Physical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9282240/ https://www.ncbi.nlm.nih.gov/pubmed/35867743 http://dx.doi.org/10.1073/pnas.2200028119 |
work_keys_str_mv | AT shohatdor memoryfromcoupledinstabilitiesinunfoldedcrumpledsheets AT hexnerdaniel memoryfromcoupledinstabilitiesinunfoldedcrumpledsheets AT lahiniyoav memoryfromcoupledinstabilitiesinunfoldedcrumpledsheets |