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Record W2778183140 · doi:10.1002/cjce.23122

Exploration of Ag decoration and Bi doping on the photocatalytic activity α‐Fe<sub>2</sub>O<sub>3</sub> under simulated solar light irradiation

2017· article· en· W2778183140 on OpenAlexvenueno aff
Satheesh Rajamohan, Vignesh Kumaravel, Ahmed Abdel‐Wahab, Ayyadurai Suganthi, Muthuramalingam Rajarajan

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2017
Typearticle
Languageen
FieldEnergy
TopicIron oxide chemistry and applications
Canadian institutionsnot available
Fundersnot available
KeywordsPhotocatalysisMaterials scienceBismuthIrradiationDopingVisible spectrumNuclear chemistryPrecipitationBET theoryAnalytical Chemistry (journal)CatalysisChemistryMetallurgyOptoelectronicsEnvironmental chemistryMeteorologyOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract In the present investigation, silver decorated and bismuth doped α‐Fe 2 O 3 (Ag/Bi‐Fe 2 O 3 ) was successfully synthesized using the co‐precipitation method. The size, shape, surface area, and magnetic properties were characterized by XRD, FE‐SEM, EDX, BET, VSM, and UV‐Vis‐DRS techniques. The synthesized nanoparticles were used as a photocatalyst for the degradation of rose bengal (RB) dye under simulated solar light irradiation. Ag/Bi‐Fe 2 O 3 showed the better photocatalytic activity of 97.11 % within 135 min when compared to Bi‐Fe 2 O 3 and Ag‐Fe 2 O 3 . The superior photo‐catalytic activity of Ag/Bi‐Fe 2 O 3 was mainly ascribed to visible light absorption and the suppression of photo‐generated electron‐hole recombination. Ag/Bi‐Fe 2 O 3 was found to be a stable photocatalyst during recycling experiments. Besides, the magnetic property of Ag/Bi‐Fe 2 O 3 makes it an ideal candidate for separation and recovery during recycling.

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)0.000
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 score0.042
Threshold uncertainty score0.458

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 head0.019
GPT teacher head0.213
Teacher spread0.194 · 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.

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

Citations12
Published2017
Admission routes1
Has abstractyes

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