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Record W4381613826 · doi:10.11159/ffhmt23.183

The Design of the Scaled-down Experimental Device for Molten Salts

2023· article· en· W4381613826 on OpenAlexvenueno aff
Michal Cihlář, Slavomír Entler, Pavel Zácha, Václav Dostál, Jan Prehradný, Jakub Špaček

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2023
Typearticle
Languageen
FieldEngineering
TopicEngineering Applied Research
Canadian institutionsnot available
FundersEuropean Regional Development FundČeské Vysoké Učení Technické v Praze
KeywordsComputer scienceMaterials scienceProcess engineeringNuclear engineeringEngineering

Abstract

fetched live from OpenAlex

An intermediate heat transfer system (IHTS) with a molten salt working medium is one of the proposed concepts of the future DEMO fusion power plant.Molten salts are currently used for concentrating solar power plants, heat accumulation and energy storage, and in some chemical processes.Moreover, there are proposed as a coolant and fuel carrier in the future Generation IV fission nuclear power plants.Despite its current use in some fields, many questions remain unanswered.To study them, technically, organizationally, and financially demanding experimental devices are required.In order to avoid this demandingness, the possible use of scaled-down experimental devices is studied.Such an experimental device working with thermal oil at lower temperatures with similar behavior to molten salts called SHAKER is being built in the laboratories of the Faculty of Mechanical Engineering of Czech Technical University in Prague.The design of the afford mentioned scaled-down experimental device is presented in this paper.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.037
GPT teacher head0.266
Teacher spread0.228 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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