Quantifying Memory in Spin Glasses

Rejuvenation and memory, long considered the distinguishing features of spin glasses, have recently been proven to result from the growth of multiple length scales. This insight, enabled by simulations on the Janus II supercomputer, has opened the door to a quantitative analysis. We combine numerical simulations with comparable experiments to introduce two coefficients that quantify memory. A third coefficient has been recently presented by Freedberg et al. We show that these coefficients are physically equivalent by studying their temperature and waiting-time dependence.

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Publication Details

Journal
Physical Review Letters
Published
2024-12-20
DOI
https://doi.org/10.1103/physrevlett.133.256704
Citations
4
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
1.24

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article

Quantifying Memory in Spin Glasses

A. Maiorano, J. M. Gil-Narvion, A. Gordillo-Guerrero, Beatriz Seoane et al.
4 citations
Physical Review Letters
Theoretical and Computational Physics
1.24
article

Quantifying Memory in Spin Glasses

A. Maiorano, J. M. Gil-Narvion, A. Gordillo-Guerrero, Beatriz Seoane, I. González-Adalid Pemartín, David Yllanes, V. Martı́n-Mayor, J. J. Ruiz-Lorenzo, D. Íñiguez, S. Pérez-Gaviro, R. Orbach, I. Paga, Giorgio Parisi, Federico Ricci‐Tersenghi, Enrico Calore, J. Moreno-Gordo, Sebastiano Fabio Schifano, A. Tarancón, Marco Baity‐Jesi, A. Muñoz Sudupe, D. L. Schlagel, L. A. Fernández, Enzo Marinari, Andrés De la Cruz, J. P. He, D. Navarro
article en
4 citations

Abstract

Rejuvenation and memory, long considered the distinguishing features of spin glasses, have recently been proven to result from the growth of multiple length scales. This insight, enabled by simulations on the Janus II supercomputer, has opened the door to a quantitative analysis. We combine numerical simulations with comparable experiments to introduce two coefficients that quantify memory. A third coefficient has been recently presented by Freedberg et al. We show that these coefficients are physically equivalent by studying their temperature and waiting-time dependence.

Physical Review LettersVol. 133(25)
University of Siena (IT), Universidad Complutense de Madrid (ES), University of Ferrara (IT), Universidad de Zaragoza (ES), Université Paris-Saclay (FR), Ames National Laboratory (US), Fundacion Agencia Aragonesa para la Investigacion y el Desarrollo (ES), Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara (IT), Zaragoza Logistics Center (ES), Chan Zuckerberg Initiative (United States) (US), Biocom (US), Instituto de Biocomputación y Física de Sistemas Complejos, Swiss Federal Institute of Aquatic Science and Technology (CH), Bocconi University (IT), Universidad de Extremadura (ES), Sapienza University of Rome (IT), The University of Texas at Austin (US)
U.S. Department of Energy, Ministerio de Ciencia, Innovación y Universidades, Lazio Innova, European Commission, Consejería de Educación y Empleo, Junta de Extremadura, Regione Lazio, Horizon 2020 Framework Programme, Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México, European Regional Development Fund, Agencia Estatal de Investigación, Basic Energy Sciences, European Social Fund, Division of Materials Sciences and Engineering
Openalex Percentile: Top 20%
Theoretical and Computational Physics
1.24
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