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Record W4387672791 · doi:10.1021/acsenergylett.3c01716

Direct Membrane Deposition for CO<sub>2</sub> Electrolysis

2023· article· en· W4387672791 on OpenAlex
Tartela Alkayyali, Ali Shayesteh Zeraati, Harrison Mar, Fatemeh Arabyarmohammadi, Sepehr Saber, Rui Kai Miao, Colin P. O’Brien, Hanshuo Liu, Zhong Xie, Guangyu Wang, Edward H. Sargent, Nana Zhao, David Sinton

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACS Energy Letters · 2023
Typearticle
Languageen
FieldEnergy
TopicCO2 Reduction Techniques and Catalysts
Canadian institutionsNational Research Council CanadaUniversity of British ColumbiaUniversity of Toronto
FundersUniversity of TorontoAlbert-Ludwigs-Universität FreiburgNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsNational Research Council CanadaBoettcher Foundation
KeywordsElectrolysisFaraday efficiencyMembraneDeposition (geology)ChemistryVoltageIonMaterials scienceChemical engineeringAnalytical Chemistry (journal)ElectrodeElectrochemistryChromatographyElectrical engineeringElectrolyteEngineeringPhysical chemistry

Abstract

fetched live from OpenAlex

The use of forward-bias bipolar membranes (f-BPM) in CO 2 electrolyzers offers the advantage of avoiding costly CO 2 reactant loss. However, current f-BPM-based electrolyzers require a high voltage and produce H 2 at the expense of CO 2 reduction products. In this work, we develop a direct membrane deposition (DMD) approach that combines anion and cation exchange membranes (AEM and CEM, respectively) to increase transport and facilitate CO 2 regeneration. The DMD approach provides flexibility to tune the properties of the composite and optimize the AEM:CEM ratio for low resistance and low H 2 evolution. Compared to a standard f-BPM, the DMD approach reduced the H 2 Faradaic efficiency by 2-fold (25% vs 12%, respectively), reduced mass transport resistance by over 50%, decreased full-cell potential by 0.84 V, increased the selectivity toward multicarbon products by over 2-fold (29% vs 65%, respectively), and achieved >17% in multicarbon product energy efficiency at 300 mA cm –2 .

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.

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 score0.040
Threshold uncertainty score0.810

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 head0.008
GPT teacher head0.224
Teacher spread0.216 · 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