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Record W4392782776 · doi:10.1002/smll.202400564

In‐Plane Topological‐Defect‐Enriched Graphene as an Efficient Metal‐Free Catalyst for pH‐Universal H<sub>2</sub>O<sub>2</sub> Electrosynthesis

2024· article· en· W4392782776 on OpenAlexafffund
Zhixing Mou, Yuewen Mu, Lijia Liu, Daili Cao, Shuai Chen, Wenjun Yan, Haiqing Zhou, Ting‐Shan Chan, Lo‐Yueh Chang, Xiujun Fan

Bibliographic record

VenueSmall · 2024
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsWestern University
FundersInstitute of Chemistry, Chinese Academy of SciencesNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaRice University
KeywordsElectrosynthesisGrapheneCatalysisMaterials scienceMetalTopology (electrical circuits)NanotechnologyChemical engineeringPhysicsChemistryElectrochemistryQuantum mechanicsCombinatoricsMathematicsElectrodeMetallurgyEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Developing efficient metal‐free catalysts to directly synthesize hydrogen peroxide (H 2 O 2 ) through a 2‐electron (2e) oxygen reduction reaction (ORR) is crucial for substituting the traditional energy‐intensive anthraquinone process. Here, in‐plane topological defects enriched graphene with pentagon‐S and pyrrolic‐N coordination (SNC) is synthesized via the process of hydrothermal and nitridation. In SNC, pentagon‐S and pyrrolic‐N originating from thiourea precursor are covalently grafted onto the basal plane of the graphene framework, building unsymmetrical dumbbell‐like S─C─N motifs, which effectively modulates atomic and electronic structures of graphene. The SNC catalyst delivers ultrahigh H 2 O 2 productivity of 8.1, 7.3, and 3.9 mol g catalyst −1 h −1 in alkaline, neutral, and acidic electrolytes, respectively, together with long‐term operational stability in pH‐universal electrolytes, outperforming most reported carbon catalysts. Theoretical calculations further unveil that defective S─C─N motifs efficiently optimize the binding strength to OOH * intermediate and substantially diminish the kinetic barrier for reducing O 2 to H 2 O 2 , thereby promoting the intrinsic activity of 2e‐ORR.

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)0.001
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 score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.218
Teacher spread0.208 · 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

Citations14
Published2024
Admission routes2
Has abstractyes

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