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Record W4412803571 · doi:10.1109/pn66844.2025.11097080

Plasmonic Au/p-GaN Nanostructured Photocatalysts for Photoelectrochemical CO<sub>2</sub> Reduction

2025· article· en· W4412803571 on OpenAlex
Md. Moinul Islam, Md. Afjalur Rahman, Nirmal Anand, Dipon Kumar Ghosh, Christy Giji Jenson, Md Zunaid Baten, Sharif Sadaf

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

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicGa2O3 and related materials
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsPlasmonMaterials scienceReduction (mathematics)OptoelectronicsPhotocatalysisPhotoelectrochemistryNanotechnologyChemistryElectrochemistryElectrodeCatalysis

Abstract

fetched live from OpenAlex

Photoelectrochemical (PEC) CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> reduction holds a significant route for converting solar energy into value-added fuels. p-type GaN is a novel class of semiconductor for hot hole collection from plasmonic Au to drive the PEC reaction. Here, we investigate the PEC performance of bare p-GaN photocathodes under 100 mW/cm<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> illumination. The photocathodes were fabricated using a scalable silica nanosphere patterning technique. The overall aim is to yield syngas (CO+H2) under unassisted condition combining plasmonic Au into nanostructured p-GaN photoelectrodes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.011
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.006
GPT teacher head0.247
Teacher spread0.241 · 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

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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