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Mathematical Modelling and Nonlinear Analysis of Reaction Diffusion Mechanism of the Volatile Compounds Alongside Spherical Electrodes Embedded within the Chemically Modified Electrodes

2025· article· en· W4413380603 on OpenAlexvenueno aff
A. Uma, R. Swaminathan

Bibliographic record

VenueInternational Journal of Analysis and Applications · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Chemical Sensor Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsElectrodeMechanism (biology)Nonlinear systemDiffusionGaseous diffusionChemistryMaterials scienceChemical engineeringThermodynamicsPhysical chemistryPhysicsEngineering

Abstract

fetched live from OpenAlex

The main objective of the present research is to propose a new mathematical formulation for the concentration of volatile substances corresponding to spherical electrodes through applying steady state reaction diffusion equations within the electrode surface in the presence of chemically modified electrodes. This model requires into consideration the diffusion of reactants and charge carriers that occur within the chemically modified layer that is positioned at the electrode surface. All probable experimental responses of the parameter may utilise appropriate mediator, substrate, and current concentrations evaluated analytically through the implementation of the Akbari Ganji Method. A numerical representation of the issue being studied can also be obtained implementing MATLAB software aimed at assisting comprehend the dynamics of the system. An appropriate degree of concurrence is subsequently provided once the ensuring results have been examined using currently accessible numerical data with previously discovered information.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score0.245

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 head0.006
GPT teacher head0.239
Teacher spread0.233 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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