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Record W4322490988 · doi:10.1016/j.optmat.2023.113543

(INVITED)Mid-infrared photoluminescence in Ce3+ doped selenide-chalcogenide glass and fiber

2023· article· en· W4322490988 on OpenAlexfundno aff
Joel Nunes, Richard Crane, Zhuoqi Tang, Ł. Sójka, N. Kalfagiannis, David Furniss, M.C. Farries, T.M. Benson, S. Sujecki, Angela B. Seddon

Bibliographic record

VenueOptical Materials · 2023
Typearticle
Languageen
FieldEngineering
TopicSolid State Laser Technologies
Canadian institutionsnot available
FundersEngineering and Physical Sciences Research CouncilTrent UniversityNottingham Trent University
KeywordsPhotoluminescenceChalcogenideChalcogenide glassMaterials scienceSelenideGround stateExcited stateAnalytical Chemistry (journal)DopingOptoelectronicsOpticsAtomic physicsChemistryPhysicsSelenium

Abstract

fetched live from OpenAlex

We provide measurements to support our earlier report of continuous wave fiber lasing in a small core Ce3+-doped selenide chalcogenide SIF (step index fiber) of core: Ge-As-Ga-Se chalcogenide glass, doped with 500 ppmw (parts-per-million by weight) of cerium (III). In-band pumping of Ce3+ in fiber, bulk glass and ground glass geometries, at 4.15 μm wavelength, gives MIR (mid-infrared) photoluminescence spanning 3.40–5.80 μm wavelength, corresponding to the 2F5/2 ← 2F7/2 electronic emission transition due to Ce3+. Room temperature emission and MIR absorption spectra together enable interpretation of the manifold energies of the first excited state and there is potential for occupied Stark levels in the ground state at room temperature. Both ‘τrad’ (PL lifetime) and ‘trise’ (rise-time through 10% to 90% of maximum PL intensity) are determined: for ground glass at 4.60 μm wavelength, the best decay fit comprises a primary, and perhaps secondary, lifetime for ground glass of 3.5 ms, and 1.2 ms, and PL rise time of 3.9 ms.

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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.013
GPT teacher head0.227
Teacher spread0.214 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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