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Record W4368359182 · doi:10.1002/anie.202304470

Solar Hydrocarbons: Single‐Step, Atmospheric‐Pressure Synthesis of C<sub>2</sub>−C<sub>4</sub> Alkanes and Alkenes from CO<sub>2</sub>

2023· article· en· W4368359182 on OpenAlexafffund
Rui Song, Li Zhao, Jiuli Guo, Paul N. Duchesne, Chenyue Qiu, Chengliang Mao, Jia Jia, Sanli Tang, Yangfan Xu, Wenzhe Zhou, Lu Wang, Wei Sun, Xiaoliang Yan, Liejin Guo, Dengwei Jing, Geoffrey A. Ozin

Bibliographic record

VenueAngewandte Chemie International Edition · 2023
Typearticle
Languageen
FieldChemical Engineering
TopicCatalysts for Methane Reforming
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of TorontoMinistero dello Sviluppo EconomicoNational Key Research and Development Program of ChinaLions Clubs International FoundationAlexander von Humboldt-Stiftung
KeywordsSpinelHydrocarbonAtmospheric pressureSelectivityMaterials scienceCobaltAlloyAnalytical Chemistry (journal)Chemical engineeringChemistryInorganic chemistryOrganic chemistryMetallurgyCatalysisGeology

Abstract

fetched live from OpenAlex

Abstract Cobalt ferrite (CoFe2O4) spinel has been found to produce C2−C4 hydrocarbons in a single‐step, ambient‐pressure, photocatalytic hydrogenation of CO2 with a rate of 1.1 mmol g−1 h−1, selectivity of 29.8 % and conversion yield of 12.9 %. On stream the CoFe2O4 reconstructs to a CoFe−CoFe2O4 alloy‐spinel nanocomposite which facilitates the light‐assisted transformation of CO2 to CO and hydrogenation of the CO to C2−C4 hydrocarbons. Promising results obtained from a laboratory demonstrator bode well for the development of a solar hydrocarbon pilot refinery.

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)0.0010.000

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 head0.011
GPT teacher head0.222
Teacher spread0.212 · 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

Citations14
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueAngewandte Chemie International EditionSame topicCatalysts for Methane ReformingFrench-language works237,207