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Record W2186101276

ELECTRICAL PROPERTIES OF NONLINEAR ELECTROLYTIC DEVICE DESIGNED USING ACETIC ACID

2011· article· en· W2186101276 on OpenAlexvenueno aff
J.K. Gupta, Shiv Prasad Kosta, P. Mor

Bibliographic record

VenueInternational Journal of Chemistry · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicChaos control and synchronization
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryAcetic acidElectrolyteChemical engineeringCombinatorial chemistryOrganic chemistryElectrodePhysical chemistry
DOInot available

Abstract

fetched live from OpenAlex

Until recently, electrical and electronics applications have been focusing on Linear Circuit Elements. However, recent   works of scientists have brought the property of nonlinearity to the forefront, proving that it can hold promising applications especially in the field of Chaotic Circuits. Engineering application of nonlinearity is only in inception stage and its time to recognize the material properties with a new perspective. This brief communication reports an experimental study on Electrical properties of Non­Linear Electrolytic Device (NLED) made from Acetic acid which is a weak electrolyte. The above mentioned device exhibits nonlinearity combined with hysteresis in small signal region of Voltage‐Current characteristic The NLED manifests variable reactance under condition of high concentration and very low frequency at room temperature. An electrical circuit is plugged using a variable DC power supply, voltmeter and ammeter and the NLED under test. Voltage is varied in steps and corresponding current is recorded. The V‐I relation is estimated using Curve fit Toolbox of MATLAB6p5.

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 score0.017
Threshold uncertainty score0.337

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 head0.024
GPT teacher head0.242
Teacher spread0.218 · 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
Published2011
Admission routes1
Has abstractyes

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