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Record W4406308857 · doi:10.1103/physrevb.111.l020102

Quantum loops in the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mn>1</mml:mn> <mml:mi>T</mml:mi> </mml:math> transition metal dichalcogenides

2025· article· lv· W4406308857 on OpenAlexafffund
Ashland Knowles, G. Baskaran, R. Ganesh

Bibliographic record

VenuePhysical review. B./Physical review. B · 2025
Typearticle
Languagelv
FieldMaterials Science
Topic2D Materials and Applications
Canadian institutionsPerimeter InstituteBrock University
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of CanadaOntario Ministry of Economic Development, Job Creation and TradeInnovation, Science and Economic Development Canada
KeywordsValence (chemistry)CrystallographyIconQuantum phasesPhysicsValence electronAtom (system on chip)Materials scienceChemistryCondensed matter physicsPhase transitionQuantum phase transitionQuantum mechanicsElectronComputer science

Abstract

fetched live from OpenAlex

Loop arrangements and their quantum superpositions describe several interesting many-particle states. We propose that they also describe bonding in a class of transition metal dichalcogenides. We present an effective quantum loop model for monolayers with a $1T$ structure and a ${d}^{2}$ valence electron configuration: materials of the form $M{X}_{2}$ $(M=\text{Mo}, \mathrm{W} \text{and} X=\text{S}, \mathrm{Se}, \mathrm{Te})$ and $A{M}^{\ensuremath{'}}{Y}_{2}$ $(A=\text{Li}, \mathrm{Na}; {M}^{\ensuremath{'}}=\text{V}, \mathrm{Nb}; \text{and} Y=\text{O}, \mathrm{S}, \mathrm{Se})$. Their ${t}_{2g}$ orbitals exhibit strongly directional overlaps between neighboring atoms, favoring the formation of valence bonds. A transition metal atom forms two valence bonds, each with one of its neighbors. When connected, these bonds form loops that cover the triangular lattice. We construct a minimal Rokhsar-Kivelson-like model with resonance processes that cut and reconnect loops that run in proximity. The resulting dynamics is more constrained than in traditional quantum dimer models, with a ``bending'' constraint that arises from orbital structure. In the resulting phase diagram, we find phases that resemble distorted phases seen in materials, viz., the $1{T}^{\ensuremath{'}}$ and trimerized phases. As a testable prediction, we propose that a single ${d}^{1}$ or ${d}^{3}$ impurity will terminate a loop and give rise to a long-ranged texture. For example, a Ti/Cr defect in ${\mathrm{LiVO}}_{2}$ will produce one or more domain walls that propagate outward from the impurity. We discuss the possibility of a loop-liquid phase that can emerge in these materials.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.023
GPT teacher head0.314
Teacher spread0.290 · 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 designBench or experimental
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

Citations2
Published2025
Admission routes2
Has abstractyes

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