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Record W4310239679 · doi:10.1021/acscatal.2c03055

Steering Carbon Hybridization State in Carbon-Based Metal-free Catalysts for Selective and Durable CO<sub>2</sub> Electroreduction

2022· article· en· W4310239679 on OpenAlexafffund
Zhen Zhang, Haozhen Dou, Rui Gao, Qing‐Yuan Zhao, Dan Luo, Jian Wang, Xian‐Xiang Zeng, Aiping Yu, Xin Wang, Zhongwei Chen

Bibliographic record

VenueACS Catalysis · 2022
Typearticle
Languageen
FieldEnergy
TopicCO2 Reduction Techniques and Catalysts
Canadian institutionsCanadian Light Source (Canada)University of SaskatchewanUniversity of Waterloo
FundersWaterloo Institute for Nanotechnology, University of WaterlooGuangzhou Science and Technology Program key projectsNatural Sciences and Engineering Research Council of CanadaGuangdong Science and Technology DepartmentHigher Education Discipline Innovation ProjectUniversity of WaterlooMitacsNatural Science Foundation of Guangdong Province
KeywordsCatalysisCarbon fibersElectrocatalystMaterials scienceBoronInorganic chemistryChemistryNanotechnologyElectrochemistryElectrodeOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Electrocatalytic CO2 reduction using metal-free catalysts offers a promising and cost-effective approach to global carbon neutrality. However, metal-free catalysts frequently suffer from unsatisfactory catalytic performances, especially a low current density and poor stability. Herein, by modulating the orbital hybridization state of carbon, we strategically design a regulable sp3 and sp2 hybrid carbon interface embedded with adjacent boron and nitrogen sites in carbon-based metal-free catalysts for CO2 electroreduction. Soft X-ray chemical imaging visually uncovers that the electronic structure and bonding configuration of the boron active site at the hybrid carbon interface are modulated by the neighboring nitrogen site and sp3 carbon. The concomitant electron density reconfiguration around the interface not only delivers optimum upshift of the boron p-band center, and accordingly the moderate valence-electron depletion, to stabilize the *OCHO intermediate favorable for HCOOH generation but also weakens the boron–carbon and boron–hydrogen hybridization of competing *COOH and *H species, respectively, to promote HCOOH selectivity over CO and H2. The designed electrocatalyst realizes a record-high formate partial current density of up to 50.8 mA cm–2 among metal-free catalysts in the H-cell and maintains a high Faradaic efficiency (>90%) over 108 h. This work elevates the carbon interface design with a tailored carbon hybridization state for efficient CO2 electroreduction.

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 categoriesMeta-epidemiology (narrow)
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 score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.007
GPT teacher head0.215
Teacher spread0.209 · 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.

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
Published2022
Admission routes2
Has abstractyes

Explore more

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