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most citedNonequilibrium spin glass dynamics from picoseconds to 0.1 seconds

97 citations · 148 across the 5 of their papers we have counts for

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cond-mat.dis-nn200897 cited

Nonequilibrium spin glass dynamics from picoseconds to 0.1 seconds

F. Belletti, M. Cotallo, A. Cruz +18

We study numerically the nonequilibrium dynamics of the Ising Spin Glass, for a time that spans eleven orders of magnitude, thus approaching the experimentally relevant scale (i.e.…

cond-mat.dis-nn200713 cited

Critical properties of the four-state Commutative Random Permutation Glassy Potts model in three and four dimensions

L. A. Fernandez, A. Maiorano, E. Marinari +5

We investigate the critical properties of the four-state commutative random permutation glassy Potts model in three and four dimensions by means of Monte Carlo simulation and of a…

cond-mat.dis-nn2005

Ianus: an Adpative FPGA Computer

Ianus Collaboration, F. Belletti, I. Campos +18

Dedicated machines designed for specific computational algorithms can outperform conventional computers by several orders of magnitude. In this note we describe {\it Ianus}, a new…

cond-mat.dis-nn200519 cited

The mean field infinite range p=3 spin glass: equilibrium landscape and correlation time scales

Alain Billoire, Luca Giomi, Enzo Marinari

We investigate numerically the dynamical behavior of the mean field 3-spin spin glass model: we study equilibrium dynamics, and compute equilibrium time scales as a function of the…

cond-mat.dis-nn2001

A New Method to Compute the Configurational Entropy in Spin Glasses

B. Coluzzi, A. Crisanti, E. Marinari +2

We propose a new method to compute the configurational entropy of glassy systems as a function of the free energy of valleys at a given temperature, in the framework of the Stillin…

cond-mat.dis-nn2000

On the Energy Minima of the SK Model

Barbara Coluzzi, Enzo Marinari, Giorgio Parisi +1

We study properties of the energy minima obtained by quenching equilibrium configurations of the Sherrington-Kirkpatrick (SK) mean field spin glass. We measure the probability dist…