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Record W3154459917 · doi:10.1002/cssc.202100457

Steric Hindrance‐ and Work Function‐Promoted High Performance for Electrochemical CO Methanation on Antisite Defects of MoS<sub>2</sub> and WS<sub>2</sub>

2021· article· en· W3154459917 on OpenAlexaff
Xue Yao, Zhiwen Chen, Guo‐Jun Liu, Xingyou Lang, Yong Zhu, Wang Gao, Qing Jiang

Bibliographic record

VenueChemSusChem · 2021
Typearticle
Languageen
FieldEnergy
TopicCO2 Reduction Techniques and Catalysts
Canadian institutionsUniversity of Toronto
FundersFundamental Research Funds for the Central UniversitiesProgram for Jilin University Science and Technology Innovative Research TeamNational Natural Science Foundation of China
KeywordsMethanationSteric effectsWork functionSelectivityCatalysisElectrochemistryActive siteDensity functional theoryTransition metalChemistryMaterials scienceInorganic chemistryElectrodePhysical chemistryComputational chemistryStereochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract CO methanation from electrochemical CO reduction reaction (CORR) is significant for sustainable environment and energy, but electrocatalysts with excellent selectivity and activity are still lacking. Selectivity is sensitive to the structure of active sites, and activity can be tailored by work function. Moreover, intrinsic active sites usually possess relatively high concentration compared to artificial ones. Here, antisite defects Mo S2 and W S2 , intrinsic atomic defects of MoS 2 and WS 2 with a transition metal atom substituting a S 2 column, were investigated for CORR by density functional theory calculations. The steric hindrance from the special bowl structure of Mo S2 and W S2 ensured good selectivity towards CO methanation. Coordination environment variation of the active sites, the under‐coordinated Mo or W atoms, effectively lowered the work function, making Mo S2 and W S2 highly active for CO methanation with the required potential of −0.47 and −0.49 V vs. reversible hydrogen electrode, respectively. Moreover, high concentration of active sites and minimal structural deformation during the catalytic process of Mo S2 and W S2 enhanced their attraction for future commercial application.

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 score0.041
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
Bibliometrics0.0000.001
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 head0.009
GPT teacher head0.220
Teacher spread0.211 · 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

Citations8
Published2021
Admission routes1
Has abstractyes

Explore more

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