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Record W2140518296 · doi:10.1149/1.3693069

Molecular Theory of Solvation and Electrical Double Layer in Nanoporous Carbon Electrodes

2012· article· en· W2140518296 on OpenAlexafffund
Andriy Kovalenko

Bibliographic record

VenueECS Transactions · 2012
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsNational Institute for Nanotechnology
FundersArboraNano
KeywordsNanoporousElectrolyteSolvationSupercapacitorElectrodeNanoporeMaterials scienceElectrochemistryChemical engineeringChemical physicsCapacitanceNanotechnologyChemistrySolventPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Electrical double layer (EDL) in a nanoporous electrode is very different from a planar electrochemical capacitor. The statistical-mechanical, Replica RISM-KH-VM molecular theory for electrolyte solution sorbed in disordered nanoporous materials provides full microscopic details of the solvation structure and thermodynamics and electrochemical properties averaged over the thermal motion of sorbed solution and over quenched morphology of host nanoporous material. The method reveals the molecular mechanisms and driving forces of sorption of electrolyte solution in a nanoporous carbon electrode which are drastically different from the electrical double layer in electrolyte solution at a planar electrode. These include nanoporous confinement morphology and external charge, size and chemical specificities of solvent and electrolyte, osmotic forces, the internal EDL at the surface of nanopores and the external EDL at the contact with bulk solution. The interplay of these factors determines the efficiency of an electrosorption cell and the specific capacitance of the electrochemical supercapacitor.

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 score0.010
Threshold uncertainty score0.231

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.019
GPT teacher head0.255
Teacher spread0.236 · 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

Citations1
Published2012
Admission routes2
Has abstractyes

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