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Record W4398175326 · doi:10.1103/physrevb.109.174522

Suppression of metal-to-insulator transition and stabilization of superconductivity by pressure in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>Re</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:msub><mml:mi>Ge</mml:mi><mml:mn>7</mml:mn></mml:msub></mml:mrow></mml:math>

2024· article· lv· W4398175326 on OpenAlexafffund
Shuyuan Huyan, Eundeok Mun, Haozhe Wang, T. J. Slade, Zheng Li, J. Schmidt, R. A. Ribeiro, Wu Xie, Sergey L. Bud’ko, P. C. Canfield

Bibliographic record

VenuePhysical review. B./Physical review. B · 2024
Typearticle
Languagelv
FieldMaterials Science
TopicIron-based superconductors research
Canadian institutionsSimon Fraser University
FundersBasic Energy SciencesNatural Sciences and Engineering Research Council of CanadaEnergy Frontier Research CentersU.S. Department of Energy
KeywordsSuperconductivityPhase diagramCondensed matter physicsPhysicsElectrical resistivity and conductivityPhase transitionMaterials scienceCrystallographyPhase (matter)ChemistryQuantum mechanics

Abstract

fetched live from OpenAlex

The effect of pressure on the low-temperature states of the ${\mathrm{Re}}_{3}{\mathrm{Ge}}_{7}$ is investigated by both electrical and Hall resistance and magnetization measurements. At ambient pressure, the temperature-dependent resistance of ${\mathrm{Re}}_{3}{\mathrm{Ge}}_{7}$ behaves quasilinearly from room temperature down to 60 K, then undergoes a two-step metal-to-insulator transition (MIT) at temperatures ${T}_{1}=59.4\phantom{\rule{0.16em}{0ex}}\mathrm{K}$ and ${T}_{2}=58.7\phantom{\rule{0.16em}{0ex}}\mathrm{K}$, which may be related to a structural phase transition or occurrence of charge-density wave ordering. Upon applying pressure, the two-step (${T}_{1},\phantom{\rule{0.16em}{0ex}}{T}_{2})$ MIT splits into three steps (${T}_{1},\phantom{\rule{0.16em}{0ex}}{T}_{2}$. and ${T}_{3}$) above 1 GPa, and all traces of MITs are fully suppressed by \ensuremath{\sim}8 GPa. Subsequently, the onset of bulk superconductivity (SC) occurs between 10.8 and 12.2 GPa and persists to our highest pressure of 26.8 GPa. At 12.2 GPa the superconducting transition temperature, ${T}_{c}$, and upper critical field, ${H}_{c}2$ reach the maximum of ${\mathrm{T}}_{\mathrm{c}}$ (onset) \ensuremath{\sim}5.9 K and ${H}_{c}2$ (1.8 K) \ensuremath{\sim}14 kOe. Our results not only present the observation of SC under high pressure in ${\mathrm{Re}}_{3}{\mathrm{Ge}}_{7}$ but also delineate the interplay between SC and other competing electronic states by creating a T-p phase diagram for this potentially topologically nontrivial system ${\mathrm{Re}}_{3}{\mathrm{Ge}}_{7}$.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.025
GPT teacher head0.301
Teacher spread0.277 · 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

Citations5
Published2024
Admission routes2
Has abstractyes

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