Skip to content
#edge computing Open access

Quantum Transport Phenomena and Anderson Localization in Disordered Lattice Models at Finite Temperatures

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)
Quantum many-body systems

Abstract

We present a self-contained theoretical and numerical study of the metal-insulator transition in disordered lattice models at finite temperature, with emphasis on the breakdown of purely single-particle localization pictures once thermal population effects and local multi-particle correlations are taken into account. Starting from the microscopic tight-binding Hamiltonian with on-site diagonal disorder, we construct a finite-temperature Dyson equation whose self-energy is computed through a nonlinear generalization of the self-consistent Born approximation (SCBA). Our central theoretical contribution is a cumulant-resummed correction term, δΣnl, which captures local four-point and six-point disorder correlations beyond the Gaussian (pair-correlation) level and which acquires an explicit, analytically tractable temperature dependence through the Fermi occupation factors entering the Keldysh contour. We derive, with full proofs, a modified diffusion equation for the finite-temperature density propagator and establish existence and uniqueness of its stationary solution below a renormalized mobility edge. Using a rigorous finite-temperature Keldysh-Kubo formalism we obtain the nonequilibrium conductivity tensor and show how thermal broadening shifts the mobility edge Ec(T). In the original analytical results section we derive a closed-form estimate for the thermally dressed localization length ξ(T) and show that the associated critical exponent acquires a temperature-dependent renormalization ν(T)=ν0(1+bTp) within the validity domain of the cumulant expansion. These analytical predictions are then checked against a transfer-matrix numerical protocol based on QR-reorthonormalized Lyapunov exponent computation with finite-size scaling extrapolation.

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54

Related blog posts

MIT News · Artificial Intelligence Oct 28, 2026

Making machines that can listen

Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.

Microsoft Research Blog Oct 21, 2026

Solving a 31-year-old grand challenge in mathematics – the KLS conjecture

For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.