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Encoding of Memory in Sheared Amorphous Solids

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dc.contributor.author Fiocco, Davide
dc.contributor.author Foffi, Giuseppe
dc.contributor.author Sastry, Srikanth
dc.date.accessioned 2017-02-21T09:01:43Z
dc.date.available 2017-02-21T09:01:43Z
dc.date.issued 2014
dc.identifier.citation Fiocco, D; Foffi, G; Sastry, S, Encoding of Memory in Sheared Amorphous Solids. Physical Review Letters 2014, 112 (2), 25702 http://dx.doi.org/10.1103/PhysRevLett.112.025702 en_US
dc.identifier.citation Physical Review Letters en_US
dc.identifier.citation 112 en_US
dc.identifier.citation 2 en_US
dc.identifier.issn 0031-9007
dc.identifier.uri https://libjncir.jncasr.ac.in/xmlui/10572/2537
dc.description Restricted Access en_US
dc.description.abstract We show that memory can be encoded in a model amorphous solid subjected to athermal oscillatory shear deformations, and in an analogous spin model with disordered interactions, sharing the feature of a deformable energy landscape. When these systems are subjected to oscillatory shear deformation, they retain memory of the deformation amplitude imposed in the training phase, when the amplitude is below a "localization" threshold. Remarkably, multiple persistent memories can be stored using such an athermal, noise-free, protocol. The possibility of such memory is shown to be linked to the presence of plastic deformations and associated limit cycles traversed by the system, which exhibit avalanche statistics also seen in related contexts. en_US
dc.description.uri 1079-7114 en_US
dc.description.uri http://dx.doi.org/10.1103/PhysRevLett.112.025702 en_US
dc.language.iso English en_US
dc.publisher American Physical Society en_US
dc.rights @American Physical Society, 2014 en_US
dc.subject Physics en_US
dc.subject Potential-Energy Landscape en_US
dc.subject Neural-Networks en_US
dc.subject Dynamics en_US
dc.subject Systems en_US
dc.title Encoding of Memory in Sheared Amorphous Solids en_US
dc.type Article en_US


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