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Record W2898805084 · doi:10.1038/s41467-018-07032-0

Copper adparticle enabled selective electrosynthesis of n-propanol

2018· article· en· W2898805084 on OpenAlexafffund
Jun Li, Fanglin Che, Yuanjie Pang, Chengqin Zou, Jane Y. Howe, Thomas Burdyny, Jonathan P. Edwards, Yuhang Wang, Fengwang Li, Ziyun Wang, Phil De Luna, Cao‐Thang Dinh, Tao‐Tao Zhuang, Makhsud I. Saidaminov, Shaobo Cheng, Tianpin Wu, Y. Zou Finfrock, Lu Ma, Shang‐Hsien Hsieh, Yi‐Sheng Liu, Gianluigi A. Botton, W. F. Pong, Xi‐Wen Du, Jinghua Guo, Tsun‐Kong Sham, Edward H. Sargent, David Sinton

Bibliographic record

VenueNature Communications · 2018
Typearticle
Languageen
FieldEnergy
TopicCO2 Reduction Techniques and Catalysts
Canadian institutionsWestern UniversityCanadian Light Source (Canada)McMaster UniversityUniversity of Toronto
FundersCanadian Institutes of Health ResearchMitacsTianjin UniversityUniversity of TorontoBasic Energy SciencesCanadian Light SourceNatural Sciences and Engineering Research Council of CanadaOntario Centres of ExcellenceMcMaster UniversityLawrence Berkeley National LaboratoryUniversity of SaskatchewanCanadian Institute for Advanced ResearchArgonne National LaboratoryU.S. Department of Energy
KeywordsElectrosynthesisCatalysisCopperElectrochemistryFaraday efficiencyCarbon fibersChemistryChemisorptionCarbon monoxideInorganic chemistryAdsorptionPropanolSelectivityElectrochemical reduction of carbon dioxideDensity functional theoryMaterials scienceOrganic chemistryMethanolPhysical chemistryComputational chemistryElectrode

Abstract

fetched live from OpenAlex

Abstract The electrochemical reduction of carbon monoxide is a promising approach for the renewable production of carbon-based fuels and chemicals. Copper shows activity toward multi-carbon products from CO reduction, with reaction selectivity favoring two-carbon products; however, efficient conversion of CO to higher carbon products such as n-propanol, a liquid fuel, has yet to be achieved. We hypothesize that copper adparticles, possessing a high density of under-coordinated atoms, could serve as preferential sites for n-propanol formation. Density functional theory calculations suggest that copper adparticles increase CO binding energy and stabilize two-carbon intermediates, facilitating coupling between adsorbed *CO and two-carbon intermediates to form three-carbon products. We form adparticle-covered catalysts in-situ by mediating catalyst growth with strong CO chemisorption. The new catalysts exhibit an n-propanol Faradaic efficiency of 23% from CO reduction at an n-propanol partial current density of 11 mA cm −2 .

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 score0.441
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.292
Teacher spread0.278 · 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

Citations212
Published2018
Admission routes2
Has abstractyes

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