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Reduction of the Linewidths of Deep Luminescence Centers in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mmultiscripts><mml:mi>Si</mml:mi><mml:mprescripts/><mml:none/><mml:mn>28</mml:mn></mml:mmultiscripts></mml:math>Reveals Fingerprints of the Isotope Constituents

2008· article· lv· W2060709579 on OpenAlexaff
Michael F. Steger, A. Yang, N. Stavrias, M. L. W. Thewalt, H. Riemann, N. V. Abrosimov, М. Ф. Чурбанов, A. V. Gusev, А. Д. Буланов, D. Yu. Kovalev, A. K. Kaliteevskiĭ, O. N. Godisov, Peter Becker, H.‐J. Pohl

Bibliographic record

VenuePhysical Review Letters · 2008
Typearticle
Languagelv
FieldMaterials Science
TopicLuminescence Properties of Advanced Materials
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCenter (category theory)LuminescenceAtom (system on chip)PhysicsMaterials scienceAnalytical Chemistry (journal)CrystallographyComputer scienceChemistryOptics

Abstract

fetched live from OpenAlex

Dramatic reductions of the linewidths of well-known deep centers in $^{28}\mathrm{Si}$ reveal ``isotopic fingerprints'' of the constituents. The $\ensuremath{\sim}1014\text{ }\text{ }\mathrm{meV}$ Cu center, thought to be either a Cu pair or an isolated Cu, is shown to contain four Cu atoms, and the $\ensuremath{\sim}780\text{ }\text{ }\mathrm{meV}$ Ag center is shown to contain four Ag. The $\ensuremath{\sim}944\text{ }\text{ }\mathrm{meV}$ $^{*}\mathrm{Cu}$ center, thought to be a different configuration of a Cu pair, in fact contains three Cu and one Ag, and a new two-Cu two-Ag center is found. The $\ensuremath{\sim}735\text{ }\text{ }\mathrm{meV}$ center, previously assigned to Fe, actually contains Au and three Cu. This suggests a family of four-atom (Cu, Ag, Au) centers.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.001
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 head0.023
GPT teacher head0.255
Teacher spread0.232 · 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

Citations46
Published2008
Admission routes1
Has abstractyes

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