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Characterization and Modeling of a Microwave Reactor for the Open-Loop Control of its Impedance

2023· article· en· W4384833735 on OpenAlexaff
Issam Dourid, Ahmed Bouzid, Saad Chidami, Tarek Ould‐Bachir, Jamal Chaouki

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemistry
TopicMicrowave-Assisted Synthesis and Applications
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsTunerMicrowaveStub (electronics)CascadeElectrical impedanceReflection (computer programming)Computer scienceElectronic engineeringContext (archaeology)EmbeddingAcousticsRadio frequencyPhysicsEngineeringElectrical engineeringTelecommunications

Abstract

fetched live from OpenAlex

In the context of controlling a microwave chemical reactor, this article presents an approach to address the reflection of electromagnetic waves caused by impedance mismatch. Microwave chemistry is a technique that has a lot of advantages compared to conventional methods, but its major drawback is the reflection of EM waves by the microwave cavity. One of the ways to overcome this problem is to use a triple stub tuner and adjust it according to the impedance of the reaction medium. In this manuscript, a numerical model that characterizes the system as well as simulation results of the model are shown, in addition to experimental results to validate the proposed model. De-embedding and the cascade methods have been adopted in this work which show promising results to address the energy transfer problem.

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 score0.234
Threshold uncertainty score0.191

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 head0.049
GPT teacher head0.283
Teacher spread0.235 · 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
Published2023
Admission routes1
Has abstractyes

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