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Record W3026575876 · doi:10.1002/adom.202070040

Gradient Refractive Index (GRIN) Optics: Monolithic Chalcogenide Optical Nanocomposites Enable Infrared System Innovation: Gradient Refractive Index Optics (Advanced Optical Materials 10/2020)

2020· article· en· W3026575876 on OpenAlex
Myungkoo Kang, Laura Sisken, Charmayne Lonergan, Andrew Buff, Anupama Yadav, Claudia Gonçalves, Cesar Blanco, Peter Wachtel, J. David Musgraves, Alexej Pogrebnyakov, Erwan Baleine, Clara Rivero‐Baleine, Theresa S. Mayer, Carlo G. Pantano, Kathleen Richardson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvanced Optical Materials · 2020
Typearticle
Languageen
FieldMaterials Science
TopicPhase-change materials and chalcogenides
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsMaterials scienceRefractive indexNanocompositeOpticsChalcogenideChalcogenide glassOptoelectronicsVolume fractionInfraredComposite materialPhysics

Abstract

fetched live from OpenAlex

This cover picture, referring to article number 2000150 by Myungkoo Kang, Kathleen A. Richardson and co-workers, illustrates that multi-component Ge–As–Pb–Se chalcogenide glasses are capable of forming transparent optical glass ceramic nanocomposites with the potential for use as infrared gradient refractive index optical components. Through a simple gradient heat treatment protocol, the glass system is converted to a nanocomposite where the spatially varying volume fraction of nucleated nanocrystals defines the resulting nanocomposite's effective optical properties. This modification results in systematic variations in refractive index and Abbe number of the transmissive nanocomposites. These data are critical in that they provide the design input data required to engineer arbitrarily-shaped, single-component gradient refractive index lenses with minimum spectral aberration. (Cover illustration: courtesy of Mia Truman.)

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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.054
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.022
GPT teacher head0.265
Teacher spread0.242 · 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