This review summarizes recent developments in the theory of spin glasses, as well as
pertinent experimental data. The most characteristic properties of spin glass systems are …

The theory of neural networks is extended to include a static noise as well as nonlinear
updating of synapses by learning. The noise appears either in the form of spin-glass …

We propose and analyse a replica symmetric solution for random link travelling salesman
problems. This gives reasonable analytical estimates for thermodynamic quantities such as …

The results of large-scale Monte Carlo simulations on a nearest-neighbor Heisenberg spin-
glass model are presented. We find that the transition is at zero temperature and that 3 is …

Magnetization measurements have been made on an insulating random mixture, Fe 0.5 Mn
0.5 Ti O 3. An Ising spin-glass behavior has been observed below T g= 21.1 K. It is shown …

The zero-temperature ground-state properties of five spin-glass models have been studied
as a function of the cooling rate r=− Δ T t. Here Δ T is the temperature decrement and t is the …

The Hopfield model of a neural network is studied for p= αN, where p is the number of
memorized patterns and N the number of neurons. The averaging over the quenched …

Using a novel magnetometer technique probing a (15− μ m) 3 volume of a sample directly
on top of a dc-SQUID chip with integrated pickup loops and field coils, we measure …

The static and dynamic properties of small ferromagnetic particles, consisting of iron grains
dispersed in an amorphous alumina matrix, are discussed and compared with spin glass …

We study the low-temperature phase of the nearest-neighbor Ising spin glass. Our analysis
of gauge-invariant ground state Peierls contours suggests the existence of infinitely many …