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Record W4412403559 · doi:10.1364/oe.559449

Light-trapping by wave interference in intermediate-thickness silicon solar cells: reply

2025· article· en· W4412403559 on OpenAlexafffund
Sayak Bhattacharya, Sajeev John

Bibliographic record

VenueOptics Express · 2025
Typearticle
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsUniversity of Toronto
FundersOntario Research Foundation
KeywordsOpticsInterference (communication)TrappingMaterials scienceSiliconOptoelectronicsPhysicsTelecommunications

Abstract

fetched live from OpenAlex

We identify and discuss incorrect assertions, misrepresentations, and various speculations, presented in the Comment [Opt. Express3337499202510.1364/OE.546086] about our numerical calculations and related experimental measurements. A typographical error in our original manuscript has also been identified. We provide specific evidence that only very low relative intensities of trapped light remain in the photonic crystal, without absorption, at the time of our numerical FDTD convergence plateau. We delineate the extent of MAPD overestimation in the 1100 nm to 1200 nm wavelength range with our own direct comparison of COMSOL FEM and FDTD calculations. We also discuss sources of variance between experimental EQE and absorbance, and calculated absorption spectra.

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)0.010
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.015
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.044
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0020.006
Open science0.0040.002
Research integrity0.0150.031
Insufficient payload (model declined to judge)0.0030.003

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 head0.217
Teacher spread0.206 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations2
Published2025
Admission routes2
Has abstractyes

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