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Record W2031188045 · doi:10.1103/physrevb.76.045221

Donor and acceptor energies for muonium in GaAs

2007· article· en· W2031188045 on OpenAlexfundno aff
R. L. Lichti, H.N. Bani-Salameh, B.R. Carroll, K. H. Chow, B. Hitti, S. R. Kreitzman

Bibliographic record

VenuePhysical Review B · 2007
Typearticle
Languageen
FieldEngineering
TopicMuon and positron interactions and applications
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMuoniumAcceptorAtomic physicsMaterials scienceCondensed matter physicsPhysicsHyperfine structure

Abstract

fetched live from OpenAlex

Analysis of existing data on muonium in GaAs provides an extensive set of ionization energies and barriers for motion and site transitions. Within an accepted model of muonium behavior in III-V compounds, these results establish the energy relationships among observed muonium centers in GaAs, including the metastable states. This analysis places the (0/+) donor level at $0.17\phantom{\rule{0.3em}{0ex}}\mathrm{eV}$ below the conduction band edge and the (\ensuremath{-}/0) acceptor level at roughly $0.60\phantom{\rule{0.3em}{0ex}}\mathrm{eV}$ above the top of the valence band for this very light hydrogen isotope, thus locating the muonium equivalent of the H(+/\ensuremath{-}) pinning level about $0.21\phantom{\rule{0.3em}{0ex}}\mathrm{eV}$ above midgap in GaAs, nearly $0.5\phantom{\rule{0.3em}{0ex}}\mathrm{eV}$ higher than predicted.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.011
GPT teacher head0.324
Teacher spread0.313 · 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 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

Citations27
Published2007
Admission routes1
Has abstractyes

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