Superfluidity and Quantum Melting of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>p</mml:mi><mml:mtext mathvariant="normal">−</mml:mtext><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math>Clusters
Why this work is in the frame
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Bibliographic record
Abstract
Structural and superfluid properties of $p\mathrm{\text{\ensuremath{-}}}{\mathrm{H}}_{2}$ clusters of size up to $N=40$ molecules, are studied at low temperature ($0.5\text{ }\text{ }\mathrm{K}\ensuremath{\le}T\ensuremath{\le}4\text{ }\text{ }\mathrm{K}$) by path integral Monte Carlo simulations. The superfluid fraction ${\ensuremath{\rho}}_{S}(T)$ displays an interesting, nonmonotonic behavior for $22\ensuremath{\le}N\ensuremath{\le}30$. We interpret this dependence in terms of variations with $N$ of the cluster structure. Superfluidity is observed at low $T$ in clusters of as many as 27 molecules; in the temperature range considered here, quantum melting is observed in some clusters, which are seen to freeze at high temperature.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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 it