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Record W7116890297 · doi:10.1002/adfm.202531497

Decoding the Reaction Mechanisms of WS <sub>2</sub> ‐Confined Atomic Co Sites in Hydrogenation and Hydrogen Production Reactions

2025· article· en· W7116890297 on OpenAlexaff
Zhijun Li, Xue Zeng Lu, Shurui Gao, Gai Li, Siqi Ji, Hongxue Liu, Wenkai Yang, J. Hugh Horton, Xinlong Tian, Yu Wang

Bibliographic record

VenueAdvanced Functional Materials · 2025
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsQueen's University
FundersNational Natural Science Foundation of China
KeywordsCatalysisOverpotentialHydrogen productionHydrogenTransfer hydrogenationReaction intermediateYield (engineering)Substrate (aquarium)

Abstract

fetched live from OpenAlex

ABSTRACT Developing advanced catalysts for hydrogenation and hydrogen production is essential for producing fuels and materials in a sustainable form. However, challenges remain due to the catalysts’ poor activity and limited lifetime. Herein, we report on an efficient atomic editing approach using sulfur‐confined atomic Co atoms on tungsten sulfide nanosheets (Co 1 /WS 2 ) that can effectively break scaling‐limitations. This approach yields improved catalytic performance in achieving transfer hydrogenation of quinoline, exhibiting an excellent yield of 99% toward 1,2,3,4‐tetrahydroquinoline and a record high turnover frequency (TOF) of 3371 h −1 . Importantly, a wide substrate scope and efficient continuous‐flow production are successfully demonstrated. Using Co 1 /WS 2 as a hydrogen evolution reaction (HER) catalyst in acidic media, an ultra‐low overpotential of 19 mV at 10 mA cm −2 and a high operational stability are obtained. Characterizations and computational studies demonstrate that the coordination environments, metal‐support interactions, and charge transfer lead to optimized intermediates and adsorption energies. This not only facilitates the transfer hydrogenation of quinoline with active * H species through the Eley−Rideal mechanism, but also enhances proton transfer and promotes efficient H 2 desorption for HER. This work paves the way for a tailored catalyst design strategy with high atom‐economy that overcomes the dilemma between activity and stability.

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 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 score0.016
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.009
GPT teacher head0.224
Teacher spread0.215 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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