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Record W4409313051 · doi:10.1103/physrevb.111.165113

Low-energy electrodynamics and a hidden Fermi liquid in the heavy-fermion compound <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>CeCoIn</mml:mi> <mml:mn>5</mml:mn> </mml:msub> </mml:math>

2025· article· lv· W4409313051 on OpenAlexaff
L. Y. Shi, Zhenisbek Tagay, Jiahao Liang, Nghiep Khoan Duong, Yi Wu, F. Ronning, Darrell G. Schlom, K. M. Shen, N. P. Armitage

Bibliographic record

VenuePhysical review. B./Physical review. B · 2025
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicRare-earth and actinide compounds
Canadian institutionsCanadian Institute for Advanced Research
FundersBasic Energy SciencesGordon and Betty Moore FoundationNational Science Foundation
KeywordsPhysicsFermi liquid theoryCondensed matter physicsSuperconductivity

Abstract

fetched live from OpenAlex

We present time-domain THz spectroscopy of thin films of the heavy-fermion superconductor ${\mathrm{CeCoIn}}_{5}$. Below the $\ensuremath{\approx}40$ K Kondo coherence temperature, a narrow Drude-like peak forms, as a result of the $f$-orbital--conduction-electron hybridization and the formation of the heavy-fermion state. The complex optical conductivity is analyzed through a Drude model and extended Drude model analysis. Via the extended Drude model analysis, we measure the frequency-dependent scattering rate ($1/\ensuremath{\tau}$) and effective mass (${m}^{*}/{m}_{b}$). This scattering rate shows a linear dependence on temperature, which matches the dependence of the resistivity as expected. Nevertheless, the width of the low-frequency Drude peak itself that is set by the renormalized quasiparticle scattering rate ($1/{\ensuremath{\tau}}^{*}={m}_{b}/{m}^{*}\ensuremath{\tau}$) shows a ${T}^{2}$ dependence. This is the scattering rate that characterizes the relaxation time of the renormalized quasiparticles. This gives evidence for a Fermi liquid state, which in conventional transport experiments is hidden by the strong temperature dependent mass.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.871
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.281
Teacher spread0.269 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations1
Published2025
Admission routes1
Has abstractyes

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