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Record W2971019158 · doi:10.1002/smll.201902582

Porous Copper Microspheres for Selective Production of Multicarbon Fuels via CO<sub>2</sub> Electroreduction

2019· article· en· W2971019158 on OpenAlexfundno aff
Chengqin Zou, Cong Xi, Deyao Wu, Jing Mao, Min Liu, Hui Liu, Cunku Dong

Bibliographic record

VenueSmall · 2019
Typearticle
Languageen
FieldEnergy
TopicCO2 Reduction Techniques and Catalysts
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaCanada Foundation for InnovationNational Research CouncilUniversity of SaskatchewanCanadian Light Source
KeywordsCopperMaterials scienceFaraday efficiencyIodideMicrosphereCarbon dioxideInorganic chemistryChemical engineeringElectrodeElectrochemistryChemistryMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The electroreduction of carbon dioxide (CO 2 ) toward high‐value fuels can reduce the carbon footprint and store intermittent renewable energy. The iodide‐ion‐assisted synthesis of porous copper (P‐Cu) microspheres with a moderate coordination number of 7.7, which is beneficial for the selective electroreduction of CO 2 into multicarbon (C 2+ ) chemicals is reported. P‐Cu delivers a C 2+ Faradaic efficiency of 78 ± 1% at a potential of −1.1 V versus a reversible hydrogen electrode, which is 32% higher than that of the compact Cu counterpart and approaches the record (79%) reported in the same cell configuration. In addition, P‐Cu shows good stability without performance loss throughout a continuous operation of 10 h.

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 score0.032
Threshold uncertainty score0.744

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 head0.008
GPT teacher head0.231
Teacher spread0.222 · 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

Citations34
Published2019
Admission routes1
Has abstractyes

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