SearcharxivSearch

arXiv · cond-mat/9803052

Non-mean-field theories of short range order and diffuse scattering anomalies in disordered alloys

Abstract

Local, or short-range, order in disordered alloys is an important and exciting phenomenon which is quantified in electron, X-ray and neutron scattering experiments. It is discussed in many excellent reviews and books, as well as in the multitude of original research papers. This relatively short review of the subject does not attempt to discuss all aspects of the problem of local correlations in alloys. In particular, we will not touch such issues as multiatom (cluster) interactions, static displacements and vibrations of alloy atoms, partially ordered, multicomponent or amorphous alloys. As a result, we will concentrate on the Hamiltonian traditional for the considered problem, that of the Ising model on a rigid ideal lattice with pair, but otherwise arbitrary (i.e., of any range) interatomic interactions. The central object of the paper is the pair correlation function of the corresponding dynamical variables of the model, the occupation numbers or spin variables, the Fourier transform of which is proportional to the intensity of diffuse scattering caused by atomic short-range order. The main aim is to show that the expression for this quantity has certain internal structure analogous, e.g., to that of the averaged Green's function used in the electronic theory of disordered alloys. This structure is independent of the approximation used for the quantitative description of correlations. As will be seen, this structure alone, without further specification of a particular theory of short-range order, allows us to see new possibilities in diffuse scattering, some of which have recently been observed experimentally.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Igor Tsatskis. 1998-03-04. Non-mean-field theories of short range order and diffuse scattering anomalies in disordered alloys. https://arxiv.org/abs/cond-mat/9803052

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Universal sampling of spin systems across quenched disorder

Statistical physics extracts macroscopic laws by averaging over the many microscopic degrees of freedom of a system. Disordered systems demand a second and far harder average, one over the quenched randomness itself. The classic analytical routes, the replica and cavity methods, become uncontrolled outside mean-field or tree-like limits, and conventional numerical algorithms like parallel tempering require expensive, independent equilibration for every disorder realization. In this work, we introduce a universal neural variational framework that amortizes inference across the disorder ensemble, eliminating both the need for per-instance Markov chain equilibration and the cost of retraining instance-specific variational ansatzes. Built on an encoder-decoder Transformer architecture, after training once, it produces an explicit approximation to the Boltzmann distribution given previously unseen disorder realizations without further optimization. We validate this framework on 2D Edwards-Anderson models, and apply it to the random-bond Ising model, successfully capturing the Binder cumulant crossings near the Nishimori multicritical point. These results shift the object of variational inference from the single instance to the disorder ensemble, opening a route to frustrated many-body systems where instance-by-instance computation is prohibitive.

cond-mat.stat-mech

Information-Theoretic Characterization of Macroscopic Chaos Emerging from the Chemical Master Equation

Open chemical reaction networks exhibit stochastic concentration dynamics at finite system sizes, whereas their macroscopic limit is governed by deterministic rate equations that can display chaos. In this Letter, we show theoretically that a rate of information loss constructed from two-time mutual information recovers the Kolmogorov-Sinai entropy in the deterministic limit. We verify this result through numerical simulations of a Markov jump process for a three-species system involving seven reactions.

cond-mat.stat-mech

Orientational order on non-orientable domains

We study the statistical properties of passive and active many-body systems with orientational degrees of freedom on non-orientable domains. By rephrasing topological constraints as non-local symmetry relations on an orientable double-cover, we show that non-orientability eliminates global rotational soft modes without acting like an external field. In a passive XY model, this results in topological caging, where orientational fluctuations that exhibit conventional diffusive behavior on a torus saturate on a Klein bottle to a finite value that we compute exactly in the thermodynamic limit. In models of active self-propelled particles with orientational degrees of freedom, topological caging persists despite continuously changing interaction neighborhoods. In an active Ising spin model, non-orientability enforces the coexistence of ordered anti-parallel domains with vanishing global polar order, a state that is absent on orientable domains.

cond-mat.stat-mech