Literature DB >> 35867743

Memory from coupled instabilities in unfolded crumpled sheets.

Dor Shohat1,2, Daniel Hexner3, Yoav Lahini1,2.   

Abstract

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.

Entities:  

Keywords:  buckling instability; crumpling; mechanical metamaterials; memory

Year:  2022        PMID: 35867743      PMCID: PMC9282240          DOI: 10.1073/pnas.2200028119

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   12.779


  38 in total

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Journal:  Phys Rev Lett       Date:  2002-01-30       Impact factor: 9.161

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Journal:  Phys Rev Lett       Date:  2006-10-27       Impact factor: 9.161

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Authors:  Eric Sultan; Arezki Boudaoud
Journal:  Phys Rev Lett       Date:  2006-04-07       Impact factor: 9.161

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Authors:  Nathan C Keim; Sidney R Nagel
Journal:  Phys Rev Lett       Date:  2011-06-30       Impact factor: 9.161

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Authors:  Anne Dominique Cambou; Narayanan Menon
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-22       Impact factor: 11.205

8.  A reprogrammable mechanical metamaterial with stable memory.

Authors:  Tian Chen; Mark Pauly; Pedro M Reis
Journal:  Nature       Date:  2021-01-20       Impact factor: 49.962

9.  Networks and Hierarchies: How Amorphous Materials Learn to Remember.

Authors:  Muhittin Mungan; Srikanth Sastry; Karin Dahmen; Ido Regev
Journal:  Phys Rev Lett       Date:  2019-10-25       Impact factor: 9.161

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