The Grenoble Hybrid Magnet: From Commissioning to First Operation up to 42 T
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.007 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".