scholarly journals Delocalization transition in low energy excitation modes of vector spin glasses

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Silvio Franz ◽  
Flavio Nicoletti ◽  
Giorgio Parisi ◽  
Federico Ricci-Tersenghi

We study the energy minima of the fully-connected mm-components vector spin glass model at zero temperature in an external magnetic field for m\ge 3m≥3. The model has a zero temperature transition from a paramagnetic phase at high field to a spin glass phase at low field. We study the eigenvalues and eigenvectors of the Hessian in the minima of the Hamiltonian. The spectrum is gapless both in the paramagnetic and in the spin glass phase, with a pseudo-gap behaving as \lambda^{m-1}λm−1 in the paramagnetic phase and as \sqrt{\lambda}λ at criticality and in the spin glass phase. Despite the long-range nature of the model, the eigenstates close to the edge of the spectrum display quasi-localization properties. We show that the paramagnetic to spin glass transition corresponds to delocalization of the edge eigenvectors. We solve the model by the cavity method in the thermodynamic limit. We also perform numerical minimization of the Hamiltonian for N\le 2048N≤2048 and compute the spectral properties, that show very strong corrections to the asymptotic scaling approaching the critical point.

2018 ◽  
Vol 2 (4) ◽  
pp. 26 ◽  
Author(s):  
Julia Wagner ◽  
Wolfgang Häußler ◽  
Olaf Holderer ◽  
Andreas Bauer ◽  
Stephen Shapiro ◽  
...  

Using the unique combination of atomically resolved atom probe tomography (APT) and volume averaged neutron (resonance) spin echo (NRSE and NSE) experiments, the influence of nano-scaled clusters on the spin relaxation in spin glasses was studied. For this purpose, the phase transition from the paramagnetic phase to the spin glass phase in an Fe-Cr spin glass with a composition of Fe 17 . 8 Cr 82 . 2 was studied in detail by means of NRSE. The microstructure was characterised by APT measurements, which show local concentration fluctuations of Fe and Cr on a length scale of 2 to 5 nm, which lead (i) to the coexistence of ferro- and anti-ferromagnetic clusters and (ii) a change of the magnetic properties of the whole sample, even in the spin glass phase, where spins are supposed to be randomly frozen. We show that a generalized spin glass relaxation function, which was successfully used to describe the phase transition in diluted spin glasses, can also be used for fitting the spin dynamics in spin glasses with significant concentration fluctuations.


Author(s):  
Julia Wagner ◽  
Wolfgang Häussler ◽  
Olaf Holderer ◽  
Andreas Bauer ◽  
Stephen Shapiro ◽  
...  

Using the unique combination of atomically resolved atom probe tomography (APT) and volume averaged neutron (resonance) spin echo (NRSE and NSE) experiments, the influence of nano-scaled clusters on the spin relaxation in spin glasses was studied. For this purpose, the phase transition from the paramagnetic phase to the spin glass phase in a Fe-Cr spin glass with a composition of Fe17.8Cr82.2 was studied in detail by means of NRSE. The microstructure was characterised by APT measurements, which show local concentration fluctuations of Fe and Cr on a length scale of 2 to 5 nm, which lead i) to the coexistence of ferro- and anti-ferromagnetic clusters and ii) a change of the magnetic properties of the whole sample, even in the spin glass phase, where spins are supposed to be randomly frozen. We show that a generalized spin glass relaxation function, which was successfully used to describe the phase transition in diluted spin glasses, can also be used for fitting the spin dynamics in spin glasses with significant concentration fluctuations.


2021 ◽  
Author(s):  
Long Tian ◽  
Panpan Liu ◽  
Tao Hong ◽  
Tilo Seydel ◽  
Xingye Lu ◽  
...  

1984 ◽  
Vol 45 (5) ◽  
pp. 843-854 ◽  
Author(s):  
M. Mézard ◽  
G. Parisi ◽  
N. Sourlas ◽  
G. Toulouse ◽  
M. Virasoro

1992 ◽  
Vol 82 (4) ◽  
pp. 630-633 ◽  
Author(s):  
T. Story ◽  
R.R. Gałązka ◽  
P.J.T. Eggenkamp ◽  
H.J.M. Swagten ◽  
W.J.M. de Jonge

Author(s):  
Sigismund Kobe ◽  
Jarek Krawczyk

The previous three chapters have focused on the analysis of computational problems using methods from statistical physics. This chapter largely takes the reverse approach. We turn to a problem from the physics literature, the spin glass, and use the branch-and-bound method from combinatorial optimization to analyze its energy landscape. The spin glass model is a prototype that combines questions of computational complexity from the mathematical point of view and of glassy behavior from the physical one. In general, the problem of finding the ground state, or minimal energy configuration, of such model systems belongs to the class of NP-hard tasks. The spin glass is defined using the language of the Ising model, the fundamental description of magnetism at the level of statistical mechanics. The Ising model contains a set of n spins, or binary variables si, each of which can take on the value up (si = 1) or down (si= 1).


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