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Signatures of Ultrafast Structural Dynamics and Phase Segregation in Photoexcited SnSe

2025· article· W7124140577 on OpenAlexaff
Benjamin J. Dringoli, Zhongzhen Luo, Mercouri Kanatzidis, M. Sutton, David G. Cooke

Bibliographic record

Venuenot available
Typearticle
Language
FieldMaterials Science
TopicAdvanced Thermoelectric Materials and Devices
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhononThermoelectric effectFemtosecondOptical conductivityLaser linewidthSpectroscopyPhase (matter)Ultrashort pulseExcitationPhotoexcitation

Abstract

fetched live from OpenAlex

In this work we use time-resolved multi-terahertz (THz) spectroscopy to observe phonon linewidth and optical conductivity dynamics in the thermoelectric tin selenide (SnSe). At early pump delays (< 0.5 ps), a broadened phonon response is observed near the strongly coupled TO phonon near 3.8 THz in the Peierl’s-distorted Pnma phase. At longer pump delays and scaling with excitation fluence, this phonon narrows, opposite to the typical temperature-induced broadening with additional deposited pump energy and consistent with a restoration of phonon degeneracy expected for a transition towards the more symmetric Immm phase. Additionally, above and below all phonon frequencies, dynamics in the optical conductivity align with our previous work suggesting nucleated domains of metallic surface states, in agreement with recent time-resolved ARPES results.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.284
Teacher spread0.278 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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