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Record W4410156550 · doi:10.1002/anie.202507028

Asymmetric Coordination in Cobalt Single‐Atom Catalysts Enables Fast Charge Dynamics and Hierarchical Active Sites for Two‐Stage Kinetics in Photodegradation of Organic Pollutants

2025· article· en· W4410156550 on OpenAlexaff
Xiaoming Liu, Yang Zhang, Puhua Sun, Fengting He, Yuzhao Wu, Shuaijun Wang, Shaobin Wang, Jinqiang Zhang

Bibliographic record

VenueAngewandte Chemie International Edition · 2025
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsUniversity of Toronto
FundersChina Scholarship CouncilAustralian Research CouncilChina Postdoctoral Science Foundation
KeywordsCatalysisPhotocatalysisPhotodegradationCarbon nitrideCobaltKineticsChemistryDegradation (telecommunications)PhotochemistryMaterials scienceChemical engineeringNanotechnologyInorganic chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Single‐atom catalysts (SACs) have attracted growing interest in solar‐driven catalysis, though challenges persist due to symmetrical metal coordination, which results in limited driving force and sluggish charge dynamics. Additionally, uneven energy and mass distribution complicate reaction pathways, ultimately restricting solar energy utilization and catalytic efficiency. Herein, we synthesized cobalt single atoms decorated carbon nitride catalysts featuring a highly asymmetric Co─C 2 N 3 coordination, tailored for photocatalytic organic pollutants removal. Advanced experimental studies and simulation results collectively revealed that the unique microenvironment surrounding Co single atoms improved charge dynamics and created reactive hot spots, facilitating the generation of reactive oxygen species during the photocatalytic degradation of organic pollutants. These enhanced charge dynamics, combined with hierarchical active sites, resulted in two‐stage reaction kinetics and excellent stability for the degradation of bisphenol A in wastewater, distinctly outperforming the first‐stage kinetics observed for polymeric carbon nitride. This work advances the understanding of structure‐performance relationships in SAC‐based photocatalytic degradation and offers valuable insights for the design of next‐generation SACs in environmental catalysis.

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 score0.100
Threshold uncertainty score0.809

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.011
GPT teacher head0.281
Teacher spread0.269 · 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

Citations28
Published2025
Admission routes1
Has abstractyes

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