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Record W2964635861 · doi:10.11159/icnfa19.111

Pure Hydrogen Production via PROX over Gold Catalysts on Alumina Supported Y-Doped Ceria: Effect of Support Preparation

2019· article· en· W2964635861 on OpenAlexvenueno aff
L. Ilieva, Rodolfo Zanella, Anna Maria Venezia, Petya Petrova, G. Pantaleo, Zbigniew Kaszkur, Leonarda Francesca Liotta, T. Tabakova

Bibliographic record

VenueProceedings of the World Congress on New Technologies · 2019
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsnot available
FundersBulgarian Academy of SciencesBulgarian National Science FundConsejo Nacional de Ciencia y Tecnología
KeywordsPROXCatalysisDopingHydrogen productionHydrogenMaterials scienceChemical engineeringInorganic chemistryChemistryCarbon monoxideOrganic chemistryOptoelectronics

Abstract

fetched live from OpenAlex

Gold catalysts on CeO2/Al2O3 and Y-doped CeO2/Al2O3 supports (20 wt.% CeO2 and 1 wt.%Y2O3) were synthesized.The mixed oxide supports were prepared by impregnation (IM) or by mechanical mixing (MM).The samples were characterised by BET, XRD and HRTEM/HAADF measurements.The catalytic properties in the preferential CO oxidation in hydrogen rich stream (PROX) using gas feed composition: 60% H2+ 1% CO + 1% O2 (He as balance) were estimated.The effect of supports preparation on the gold loading and its dispersion, supports features and catalytic performance was commented.The positive effect of yttrium for catalysts stability was evidenced during long run tests in PROX with CO2 and water addition to gas stream.The obtained results could be useful for the design of catalysts for CO-free hydrogen production with good PROX performance at reasonable price.

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 score0.001
Threshold uncertainty score0.003

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 head0.007
GPT teacher head0.253
Teacher spread0.246 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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