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Record W2000715564 · doi:10.1063/1.3591171

The fine structure constant determines spontaneous emission rates from semiconductors

2011· article· en· W2000715564 on OpenAlexaff
Thomas Szkopek

Bibliographic record

VenueApplied Physics Letters · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsMcGill University
Fundersnot available
KeywordsSpontaneous emissionRydberg constantFine-structure constantSemiconductorAtomic physicsPhysicsRadiative transferQuantum wellOscillation (cell signaling)ChemistryRydberg formulaLaserOpticsElectronQuantum mechanics

Abstract

fetched live from OpenAlex

The probability of spontaneous emission from a semiconductor, per oscillation of the optical field, is proportional to the cube of the fine structure constant α and the ratio of the semiconductor dipole parameter Ep to hydrogen’s Rydberg energy. Expressions for radiative recombination rates in quantum wells and bulk semiconductors are given, including the bimolecular radiative recombination coefficient B. We show that α sets the natural scale for spectral density of spontaneous emission per square wavelength area of a quantum well. The fine structure constant also sets a physical limit to the Purcell enhancement factor for spontaneous emission.

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 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 score0.049
Threshold uncertainty score0.987

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.220
Teacher spread0.205 · 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.

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

Citations1
Published2011
Admission routes1
Has abstractyes

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