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Record W2898889092 · doi:10.1016/j.nme.2018.10.006

Modeling non-axisymmetry in the DIII-D small angle slot divertor using EMC3-EIRENE

2018· article· en· W2898889092 on OpenAlexaff
J. Lore, P.C. Stangeby, Heng Guo, Brent Covele, Auna Moser, H. Frerichs

Bibliographic record

VenueNuclear Materials and Energy · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsUniversity of Toronto
FundersFusion Energy SciencesOffice of ScienceU.S. Department of Energy
KeywordsDivertorDIII-DPlasmaHeat fluxRADIUSMechanicsElectron temperatureFlux (metallurgy)Computational physicsRotational symmetryPhysicsTokamakAtomic physicsChemistryHeat transferNuclear physics

Abstract

fetched live from OpenAlex

The 3D edge transport code EMC3-EIRENE is used to evaluate the effects of non-axisymmetric misalignment of the small angle slot (SAS) divertor on DIII-D. The SAS is a slot divertor with a close-fitting baffle designed to control neutral recycling to yield a wide region of low electron temperature across the divertor near the strike point and to achieve mitigated heat flux to the divertor at a lower upstream plasma density as compared to a more open geometry. The measured misalignment is simulated as an n = 1 sinusoidal offset in major radius of magnitude 5.1 mm, resulting in toroidally varying divertor conditions where local regions of high and low fluxes and a changing level of detachment can be supported. The trends can be understood in terms of the local incident angle of the magnetic field, the volume of the private flux plasma in the slot, and the energy losses along the field lines in the slot. The misaligned SAS is globally more attached and has a lower plasma density and particle flux than an axisymmetric solution. Computational grids limited to the radial extent of the slot result in artificially detached solutions unless the cross-field transport coefficients are reduced such that the heat flux width is smaller than the grid width.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.240
Teacher spread0.217 · 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 designSimulation or modeling
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

Citations6
Published2018
Admission routes1
Has abstractyes

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