Aviso: para depositar documentos, por favor, inicia sesión e identifícate con tu cuenta de correo institucional de la UCM con el botón MI CUENTA UCM. No emplees la opción AUTENTICACIÓN CON CONTRASEÑA
 

Dynamic variational study of chaos: spin glasses in three dimensions

dc.contributor.authorFernández Pérez, Luis Antonio
dc.contributor.authorMartín Mayor, Víctor
dc.contributor.authorBilloire, A.
dc.contributor.authorMaiorano, A.
dc.contributor.authorMarinari, E.
dc.contributor.authorMoreno Gordo, J.
dc.contributor.authorParisi, G.
dc.contributor.authorRicci-Tersenghi, F.
dc.contributor.authorRuiz Lorenzo, J. J.
dc.date.accessioned2023-06-17T12:26:45Z
dc.date.available2023-06-17T12:26:45Z
dc.date.copyright© 2018 IOP Publishing Ltd and SISSA Medialab srl. We thank the Janus collaboration for allowing us to analyze the L = 32 autocorrelation times from Ref. [21]. We also are grateful for allowing us to carry out a short simulation on the Janus computer, in order to establish the correspondence between the Metropolis and the Heat-bath autocorrelation times. This project has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation program (grant agreement No 694925). We were partially supported by MINECO (Spain) through Grant Nos. FIS2015-65078-C2, FIS2016-76359-P and by the Junta de Extremadura (Spain) through Grant No. GRU10158 (these three contracts were partially funded by FEDER). Our simulations were carried out at the BIFI supercomputing center (using the Memento and Cierzo clusters), at the TGCC supercomputing center in Bruyères-le-Châtel (using the Curie computer, under the allocation 2015-056870 made by GENCI) and at ICCAEx supercomputer center in Badajoz (grinfishpc and iccaexhpc). We thank the staff at BIFI, TGCC and ICCAEx supercomputing centers for their assistance.en
dc.date.issued2018-03-02
dc.description.abstractWe have introduced a variational method to improve the computation of integrated correlation times in the Parallel Tempering Dynamics, obtaining a better estimate (a lower bound, at least) of the exponential correlation time. Using this determination of the correlation times, we revisited the problem of the characterization of the chaos in temperature in finite dimensional spin glasses spin by means of the study of correlations between different chaos indicators computed in the static and the correlation times of the Parallel Tempering dynamics. The sample-distribution of the characteristic time for the Parallel Tempering dynamics turns out to be fat-tailed and it obeys finite-size scaling.en
dc.description.departmentDepto. de Física Teórica
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipUnión Europea
dc.description.sponsorshipMinisterio de Economía, Comercio y Empresa (España)
dc.description.sponsorshipJunta de Extremadura
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/47212
dc.identifier.doi10.1088/1742-5468/aaa387
dc.identifier.issn1742-5468
dc.identifier.officialurlhttp://dx.doi.org/10.1088/1742-5468/aaa387
dc.identifier.relatedurlhttp://iopscience.iop.org
dc.identifier.relatedurlhttps://arxiv.org/abs/1709.09829
dc.identifier.urihttps://hdl.handle.net/20.500.14352/12041
dc.issue.number3
dc.journal.titleJournal of Statistical Mechanics: theory and experiment
dc.language.isoeng
dc.publisherIOP Publishing
dc.relation.projectIDLoTGlasSy (694925)
dc.relation.projectIDFIS2015-65078-C2, FIS2016-76359-P
dc.relation.projectIDGRU10158
dc.rights.accessRightsopen access
dc.subject.cdu53
dc.subject.keywordRenorrmalization-group
dc.subject.keywordTemperature chaos
dc.subject.keywordMean-field
dc.subject.keywordMemory
dc.subject.keywordModels
dc.subject.keywordRejuvenation
dc.subject.keywordDependence
dc.subject.keywordPhase
dc.subject.ucmFísica-Modelos matemáticos
dc.titleDynamic variational study of chaos: spin glasses in three dimensionsen
dc.typejournal article
dc.volume.number2018
dspace.entity.typePublication
relation.isAuthorOfPublication146096b1-5825-4230-8ad9-b2dad468673b
relation.isAuthorOfPublication061118c0-eadf-4ee3-8897-2c9b65a6df66
relation.isAuthorOfPublication.latestForDiscovery146096b1-5825-4230-8ad9-b2dad468673b

Download

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
MartínMayorV Preprint 50.pdf
Size:
9.07 MB
Format:
Adobe Portable Document Format

Collections