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Record W2565176766 · doi:10.14447/jnmes.v14i1.130

Electrochemical Properties of Closo-2,3-dicarbaundecaborane in Dichloromethane at a Glassy Carbon Electrode using Potentiostatic, Galvanostatic and Digital Simulation Methods

2011· article· en· W2565176766 on OpenAlexvenueno aff
Hassan M. Albishri, Ibrahim S. El-Hallag, E.H. El‐Mossalamy

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2011
Typearticle
Languageen
FieldMedicine
TopicBoron Compounds in Chemistry
Canadian institutionsnot available
Fundersnot available
KeywordsCyclic voltammetryElectrochemistryDichloromethaneVoltammetryCarboraneChemistryGlassy carbonElectrodeAnalytical Chemistry (journal)Inorganic chemistryElectron transferAcetonitrileSolventPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Electrochemical properties of closo-2,3-dicarbaundecaborane cluster have been investigated potentiostatically using cyclic voltammetry, convolutive voltammetry and galvanostatically via chronopotentiometry techniques combined with digital simulation method at a glassy carbon electrode in 0.1 M tetrabutylammonium perchlorate (TBAP) in solvent dichloromethane. The electroreduction of the carborane cluster exhibited two reduction peaks. The first peak was attributed to a two - electron reduction of carborane to form the dianion. Both the charge transfer processes were followed by fast chemical processes. The second peak represents the further reduction of the dianion by gain one electron to form the trianion followed by a fast chemical reaction. The chemical processes which follow the two - steps of the charge transfer may be due to fast isomerization or structural rearrangement The chemical and lectrochemical parameters of the investigated carborane were determined experimentally and verified theoretically via digital simulation method.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.064
GPT teacher head0.332
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2011
Admission routes1
Has abstractyes

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