RT Journal Article
T1 Quantifying memory in spin glasses
A1 Paga, I.
A1 He, J.
A1 Baity-Jesi, M.
A1 Calore, E.
A1 Cruz, A.
A1 Fernández Pérez, Luis Antonio
A1 González-Adalid Pemartín, Isidoro
A1 Martín Mayor, Víctor
A1 Muñoz Sudupe, Antonio
A1 Seoane Bartolomé, Beatriz
AB 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.
PB American Physical Society
SN 0031-9007
YR 2024
FD 2024-12-20
LK https://hdl.handle.net/20.500.14352/125902
UL https://hdl.handle.net/20.500.14352/125902
LA eng
NO Paga, I., et al. «Quantifying Memory in Spin Glasses». Physical Review Letters, vol. 133, n.o 25, diciembre de 2024, p. 256704. DOI.org (Crossref), https://doi.org/10.1103/PhysRevLett.133.256704
NO © 2024 American Physical SocietyArtículo firmado por 26 autores.FIS783—SMaC;2022LMHTET.FPU18/02665.Lazio 2014-2020 (A0375-2020-36761)
NO Department of Energy (US)
NO Ministerio de Ciencia, Innovación y Universidades (España)
NO Agencia Estatal de Investigación (España)
NO European Commission
NO Ministero dell'Università e della Ricerca (Italia)
NO LazioInnova
DS Docta Complutense
RD 18 mar 2026