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Record W4416756212 · doi:10.1109/tasc.2025.3632777

The Grenoble Hybrid Magnet: From Commissioning to First Operation up to 42 T

2025· article· W4416756212 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Applied Superconductivity · 2025
Typearticle
Language
FieldEngineering
TopicSuperconducting Materials and Applications
Canadian institutionsRoyal Canadian Military Institute
Fundersnot available
KeywordsMagnetSuperconducting magnetProject commissioningEfficient energy useMagnetic fieldPower (physics)Ranging

Abstract

fetched live from OpenAlex

In November 2024, the new Grenoble hybrid magnet achieved a significant milestone, reaching 42 T as a first step in a warm bore diameter of 34 mm. First experimental runs were performed in May-June 2025 up to 42 T with flat top durations ranging from few seconds up to 6-7 hours with no time limitation detected. This allows to finalize the commissioning phase, optimize and fine-tune procedures for routine operation. The specificity of the Grenoble hybrid magnet will be summarized together with the commissioning tests performed. The maximum magnetic field that can be targeted as next steps will also be discussed knowing that the maximum available electric power of LNCMI was increased in 2024 from 12 + 12 MW to 12 + 18 MW, with the implementation of a new distribution line connected to a new dedicated 60 MVA, 225/15 kV transformer. Thanks to all these achievements, new scientific opportunities in high magnetic field science will be possible in near future at LNCMI-Grenoble whether in condensed matter physics or in chemistry, magneto-science, particle physics and cosmology. In parallel, important activities are focused on the increase of the ecological efficiency of the energy use for the production of very high magnetic fields. The objective is also to become one of the best places worldwide in terms of greenhouse gas efficiency for the use and construction of very high field magnets. The Grenoble hybrid magnet platform will be integrated in future in the European Magnetic Field Laboratory (EMFL) infrastructure consortium.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.417
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
GPT teacher head0.245
Teacher spread0.227 · 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