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dc.contributor.authorFiocco, Davide
dc.contributor.authorFoffi, Giuseppe
dc.contributor.authorSastry, Srikanth
dc.date.accessioned2017-02-21T09:01:43Z-
dc.date.available2017-02-21T09:01:43Z-
dc.date.issued2014
dc.identifier.citationFiocco, 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.112.025702en_US
dc.identifier.citationPhysical Review Lettersen_US
dc.identifier.citation112en_US
dc.identifier.citation2en_US
dc.identifier.issn0031-9007
dc.identifier.urihttps://libjncir.jncasr.ac.in/xmlui/10572/2537-
dc.descriptionRestricted Accessen_US
dc.description.abstractWe 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.uri1079-7114en_US
dc.description.urihttp://dx.doi.org/10.1103/PhysRevLett.112.025702en_US
dc.language.isoEnglishen_US
dc.publisherAmerican Physical Societyen_US
dc.rights@American Physical Society, 2014en_US
dc.subjectPhysicsen_US
dc.subjectPotential-Energy Landscapeen_US
dc.subjectNeural-Networksen_US
dc.subjectDynamicsen_US
dc.subjectSystemsen_US
dc.titleEncoding of Memory in Sheared Amorphous Solidsen_US
dc.typeArticleen_US
Appears in Collections:Research Articles (Srikanth Sastry)

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