Equation of state experiments in extreme magnetic fields
Bibliographic record
Abstract
Transient magnetic fields in excess of {approx}500 T, with sub-microsecond risetimes, may be used to isentropically compress materials to megabar pressures, opening the way to some fascinating high pressure physics experiments. Isentropic compression experiments (ICE) have been reported by Asay and others, who used a fast, high voltage capacitor bank to provide the necessary current drive. We have adapted our high explosive pulsed power (HEPP) methods to perform the same experiments with a simple and compact HEPP apparatus. In recent experiments we have successfully obtained accurate isentropic equation of state (EOS) data in the Mbar range (i.e., >100 GPa) with our HEPP system. To that end, ICE requires relatively fast risetimes (>10 TA/s in 1.27-cm wide loads over {approx}500 ns) for HEPP in the loads of interest. It has been a significant challenge to develop the necessary explosive opening and closing switches, which can operate with a few tens of ns precision, to obtain these current risetimes. We will close by describing the EOS data analysis, which is particularly interesting because of the ramp-like nature of the compression waves in ICE experiments.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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".