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Record W4296694005 · doi:10.1364/up.2022.w2b.5

Conical-intersection dynamics probed at the carbon K-edge

2022· article· en· W4296694005 on OpenAlexaff
Valentina Utrio Lanfaloni, Kristina S. Zinchenko, Fernando Ardana‐Lamas, Nicholas R. Monahan, Issaka Seidu, Simon P. Neville, Joscelyn van der Veen, Michael S. Schuurman, Hans Jakob Wörner

Bibliographic record

VenueThe International Conference on Ultrafast Phenomena (UP) 2022 · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Matter Interactions and Applications
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsConical intersectionFemtosecondRelaxation (psychology)Conical surfaceUltrafast laser spectroscopyAttosecondSpectroscopyFemtochemistryEnhanced Data Rates for GSM EvolutionCarbon fibersMaterials scienceIntersection (aeronautics)Absorption (acoustics)Absorption spectroscopyMolecular physicsUltrashort pulseOpticsPhysicsComputer scienceQuantum mechanicsTelecommunicationsEngineeringLaser

Abstract

fetched live from OpenAlex

We demonstrate attosecond transient-absorption spectroscopy (ATAS) at the carbon K-edge as a powerful technique to detect few-femtosecond electronic dynamics driven by conical intersections in gas-phase organic molecules, revealing the fastest electronic relaxation measured to date.

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 categoriesInsufficient 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 score0.896
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.000

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 head0.024
GPT teacher head0.272
Teacher spread0.247 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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