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Record W1980778382 · doi:10.1021/ie9007002

Kinetics of Hydrogen Uptake and Release from Heteroaromatic Compounds for Hydrogen Storage

2009· article· en· W1980778382 on OpenAlexaff
Farnaz Sotoodeh, Kevin J. Smith

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2009
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen Storage and Materials
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDehydrogenationCarbazoleCatalysisKineticsHydrogen storageSelectivityHydrogenAdsorptionChemistryMaterials scienceOrganic chemistryPhotochemistryInorganic chemistry

Abstract

fetched live from OpenAlex

The kinetics of hydrogen uptake by N -ethylcarbazole and carbazole, and the kinetics of H 2 release from their hydrogenated products, is reported. The hydrogenation of N -ethylcarbazole at 130−150 °C on Ru was well described by a network of first-order stepwise hydrogenation reactions. The hydrogenation of N -ethylcarbazole was significantly faster than the hydrogenation of carbazole, and in both cases, >95% selectivity to the completely hydrogenated products, dodecahydro- N -ethylcarbazole and dodecahydrocarbazole, was achieved. The dehydrogenation of dodecahydro- N -ethylcarbazole at 101 kPa and 150−170 °C, proceeded to 100% conversion of the reactant over a Pd catalyst within 1 h. However, only 69% of the stored H 2 was recovered due to a low selectivity to N -ethylcarbazole. In the case of dodecahydrocarbazole dehydrogenation at 101 kPa and 170 °C over the same Pd catalyst, 28% H 2 recovery was obtained due to the strong adsorption of the product carbazole on the catalyst surface that also resulted in a slower rate of dodecahydrocarbazole dehydrogenation compared to dodecahydro- N -ethylcarbazole.

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 score0.002
Threshold uncertainty score0.005

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)0.0020.001

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 head0.071
GPT teacher head0.313
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

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

Citations139
Published2009
Admission routes1
Has abstractyes

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