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Record W1980229162 · doi:10.1103/physrevb.61.5381

Quantum kinetic theory of two-beam current injection in bulk semiconductors

2000· article· en· W1980229162 on OpenAlexaff
Petr Král, J. E. Sipe

Bibliographic record

VenuePhysical review. B, Condensed matter · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum and electron transport phenomena
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhysicsExcitationAtomic physicsBoltzmann constantCondensed matter physicsOmegaPhononSemiconductorElectronQuantum mechanics

Abstract

fetched live from OpenAlex

We develop a theory of current injection in bulk semiconductors by simultaneous excitation with two laser beams with frequencies $2{\ensuremath{\omega}}_{0},$ ${\ensuremath{\omega}}_{0}.$ Coherent mixing of the resulting one- and two-photon transitions generates an effective field ${A}_{\mathrm{eff}}(\mathbf{k})$ with different strengths at $\ifmmode\pm\else\textpm\fi{}\mathbf{k}$ points in momentum space. This asymmetry in carrier generation, producing the induced current, is controlled by the relative phase of the two fields. Quantum kinetic equations for the photogenerated carriers are derived from nonequilibrium Green functions. They are simplified here to the Boltzmann limit, and applied to a model of GaAs in the presence of LO phonons. Different forms of the conduction electron distributions result for generation from light- and heavy-hole bands, and give different saturation and relaxation rates for the induced current. Generation of THz radiation by the current is also discussed.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.013
GPT teacher head0.287
Teacher spread0.274 · 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 designSimulation or modeling
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

Citations26
Published2000
Admission routes1
Has abstractyes

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