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Record W2901028134 · doi:10.1073/pnas.1811396115

Directing the reactivity of metal hydrides for selective CO <sub>2</sub> reduction

2018· article· en· W2901028134 on OpenAlexfundno aff
Bianca M. Ceballos, Jenny Y. Yang

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2018
Typearticle
Languageen
FieldEnergy
TopicCO2 Reduction Techniques and Catalysts
Canadian institutionsnot available
FundersCanadian Institute for Advanced ResearchU.S. Department of EnergyNational Science Foundation
KeywordsReactivity (psychology)Reduction (mathematics)MetalChemistrySelective reductionCombinatorial chemistryMaterials scienceOrganic chemistryCatalysisMedicineMathematics

Abstract

fetched live from OpenAlex

Significance Electrocatalytic CO 2 reduction to fuels using renewable electricity provides an entry into sustainable carbon-neutral fuels. Most reactions require proton equivalents, but direct proton reduction to H 2 leads to low product selectivity, a significant challenge in the field. The issue of product selectivity arises from shared catalytic intermediates for both CO 2 reduction and H 2 evolution. We describe how thermodynamic relationships regarding the reactivity of H + and CO 2 with one of these shared intermediates, homogeneous metal hydrides, can be applied to identify catalyst candidates and conditions where H 2 evolution is suppressed in favor of highly selective CO 2 reduction. The conceptual framework is used to outline operational conditions for electrocatalytic reduction of CO 2 to formate (HCO 2 − ) by [Pt(dmpe) 2 ](PF 6 ) 2 with negligible H 2 production.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.033
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.037
GPT teacher head0.314
Teacher spread0.277 · 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

Citations126
Published2018
Admission routes1
Has abstractyes

Explore more

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