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Record W4417290575 · doi:10.1016/j.net.2025.104082

Integrated modeling of improving core confinement with ECW based on HL-3 hybrid scenario

2025· article· en· W4417290575 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNuclear Engineering and Technology · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersNational Key Research and Development Program of China
KeywordsCore (optical fiber)Deposition (geology)PlasmaPosition (finance)Power (physics)Safety factorTurbulence

Abstract

fetched live from OpenAlex

The control of safety factor profile helps to reduce turbulent transport and improve core confinement. Based on HL-3 device parameters, this study employs METIS to investigate control laws of safety factor profile through adjustments of ECW power peak deposition position, deposition width, ramp-up rate, ramp-up time, and plasma effective charge number, while analyzing their impacts on core confinement performance in hybrid scenarios. By appropriately adjusting the power deposition position and width of ECW, as well as regulating its power ramp-up time, safety factor profile can be maintained with characteristics of zero magnetic shear hybrid scenario. At the same time, transport barrier will form in the dynamic profiles, the transport coefficient will reduce, plasma parameters and core confinement will improve significantly. Moreover, the effect of ECW on the improvement of core confinement in the plasma current ramp-up phase is studied.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.932
Threshold uncertainty score0.999

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)0.0020.000

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 head0.194
Teacher spread0.189 · 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