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Record W4387972786 · doi:10.1038/s41467-023-42539-1

Continuous electroproduction of formate via CO2 reduction on local symmetry-broken single-atom catalysts

2023· article· en· W4387972786 on OpenAlexaff
Juncai Dong, Yangyang Liu, Jiajing Pei, Haijing Li, Shufang Ji, Lei Shi, Yaning Zhang, Can Li, Cheng Tang, Jiangwen Liao, Shiqing Xu, Huabin Zhang, Qi Li, Shenlong Zhao

Bibliographic record

VenueNature Communications · 2023
Typearticle
Languageen
FieldEnergy
TopicCO2 Reduction Techniques and Catalysts
Canadian institutionsUniversity of Toronto
FundersHigh Energy PhysicsInstitute of High Energy PhysicsYouth Innovation Promotion Association of the Chinese Academy of SciencesYouth Innovation Promotion AssociationChinese Academy of SciencesNational Natural Science Foundation of China
KeywordsCatalysisSelectivityFormateMoietyElectrocatalystChemistryCombinatorial chemistryMaterials scienceCrystallographyTopology (electrical circuits)NanotechnologyStereochemistryElectrodePhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Atomic-level coordination engineering is an efficient strategy for tuning the catalytic performance of single-atom catalysts (SACs). However, their rational design has so far been plagued by the lack of a universal correlation between the coordination symmetry and catalytic properties. Herein, we synthesised planar-symmetry-broken CuN 3 (PSB-CuN 3 ) SACs through microwave heating for electrocatalytic CO 2 reduction. Remarkably, the as-prepared catalysts exhibited a selectivity of 94.3% towards formate at −0.73 V vs. RHE, surpassing the symmetrical CuN 4 catalyst (72.4% at −0.93 V vs. RHE). In a flow cell equipped with a PSB-CuN 3 electrode, over 90% formate selectivity was maintained at an average current density of 94.4 mA cm −2 during 100 h operation. By combining definitive structural identification with operando X-ray spectroscopy and theoretical calculations, we revealed that the intrinsic local symmetry breaking from planar D 4 h configuration induces an unconventional dsp hybridisation, and thus a strong correlation between the catalytic activity and microenvironment of metal centre (i.e., coordination number and distortion), with high preference for formate production in CuN 3 moiety. The finding opens an avenue for designing efficient SACs with specific local symmetries for selective electrocatalysis.

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 score0.308
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.275
Teacher spread0.260 · 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

Citations220
Published2023
Admission routes1
Has abstractyes

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