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Record W4413923163 · doi:10.1088/2058-6272/ae0266

Design of magnetic equilibrium for CFEDR

2025· article· en· W4413923163 on OpenAlexaboutno aff
Hang Li, Miaohui Li, Guoqiang Li, Rui Ding, Yao 耀 HUANG 黄, Xiaoju Liu, Songlin Liu, Yuehang Wang, T- Team

Bibliographic record

VenuePlasma Science and Technology · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersNational Magnetic Confinement Fusion Program of ChinaNational Natural Science Foundation of China
KeywordsMathematical economicsGeologyEconomicsMathematics

Abstract

fetched live from OpenAlex

Abstract This study presents the design progress of the equilibrium configuration for the China Fusion Engineering Demo Reactor (CFEDR). A new equilibrium was developed using the TEQ code, incorporating both zero-dimensional physical parameters and the engineering specifications of the magnetic coils. Through iterative optimization of the divertor and blanket structures, the first viable single-null divertor (SND) plasma configuration was achieved. The METIS code was further used to efficiently calculate current and pressure profiles during the ramp-up and flattop phases, thereby validating the design of the poloidal field (PF) coils. Results indicate that the current PF coil system meets the requirements for the SND configuration but faces challenges in maintaining the quasi-snowflake plus shape.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.013
GPT teacher head0.271
Teacher spread0.258 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

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