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Record W1977558275 · doi:10.1103/physrevb.80.115125

Optical conductivity of a metal-insulator transition for the Anderson-Hubbard model in three dimensions away from half filling

2009· article· en· W1977558275 on OpenAlexaff
Daniel Chen, R. J. Gooding

Bibliographic record

VenuePhysical Review B · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhysics of Superconductivity and Magnetism
Canadian institutionsQueen's University
Fundersnot available
KeywordsCondensed matter physicsPhysicsHubbard modelOptical conductivityMott insulatorMetal–insulator transitionDensity of statesConductivityElectronLattice (music)Electrical resistivity and conductivityFermi levelDecoupling (probability)Quantum mechanicsSuperconductivity

Abstract

fetched live from OpenAlex

The Anderson-Hubbard model is considered to be the least complicated model using lattice fermions with which one can hope to study the physics of transition-metal oxides with spatial disorder. We have completed a numerical investigation of this model for three-dimensional simple-cubic lattices using a real-space self-consistent Hartree-Fock decoupling approximation for the Hubbard interaction. In this formulation we treat the spatial disorder exactly and therefore we account for effects arising from localization physics. We have examined the model for electronic densities well away from 1/2 filling thereby avoiding the physics of a Mott insulator. Several recent studies have made clear that the combined effects of electronic interactions and spatial disorder can give rise to a suppression of the electronic density of states and a subsequent metal-insulator transition can occur. We supplement such studies by calculating the ac conductivity for such systems. Our numerical results show that weak interactions enhance the density of states at the Fermi level and the low-frequency conductivity, there are no local magnetic moments, and the ac conductivity is Drude like. However, with a large enough disorder strength and larger interactions the density of states at the Fermi level and the low-frequency conductivity are both suppressed, the conductivity becomes non-Drude like, and these phenomena are accompanied by the presence of local magnetic moments. The low-frequency conductivity changes from a $\ensuremath{\sigma}\ensuremath{-}{\ensuremath{\sigma}}_{\text{dc}}\ensuremath{\sim}{\ensuremath{\omega}}^{1/2}$ behavior in the metallic phase, to a $\ensuremath{\sigma}\ensuremath{\sim}{\ensuremath{\omega}}^{2}$ behavior in the nonmetallic regime. For intermediate disorder at 1/4 electronic filling, a metal-to-insulator transition is predicted to take place at a critical $U/B\ensuremath{\approx}0.75$ ($U$ being the Hubbard interaction strength and $B$ the electronic band width). Our numerical results show that the formation of magnetic moments is essential to the suppression of the density of states at the Fermi level and therefore essential to the metal-insulator transition. At weaker disorder a small lessening of the density of states at the Fermi level occurs but screening suppresses the spatial disorder and with increasing interactions no metal-insulator transition is found.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.305
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2009
Admission routes1
Has abstractyes

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