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Record W2061556119 · doi:10.1021/jp0018504

Melting in Large Sodium Clusters:  An Orbital-Free Molecular Dynamics Study

2001· article· en· W2061556119 on OpenAlexaff
Andrés Aguado, J. M. López, J. A. Alonso, M. J. Stott

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicnanoparticles nucleation surface interactions
Canadian institutionsQueen's University
Fundersnot available
KeywordsIcosahedral symmetryMolecular dynamicsCluster (spacecraft)HomogeneousMelting pointThermodynamicsChemistryChemical physicsMaterials scienceCrystallographyComputational chemistryPhysics

Abstract

fetched live from OpenAlex

The melting-like transition in sodium clusters Na N, with N = 55, 92, and 142, is studied by using constant-energy molecular dynamics simulations. An orbital-free version of the Car−Parrinello technique is used that scales linearly with system size, allowing for investigations of the thermal behavior of large clusters. The ground-state isomer of Na 142 (an incomplete three-shell icosahedron) melts in two steps: the first (at ∼240 K) is characterized by the high mobility of atoms located on the cluster surface, and the second, homogeneous melting (at ∼270 K) involves diffusive motion of all of the atoms across the cluster. For the case of Na 92, the icosahedral structure has a larger number of surface vacancies and melts in two well-separated steps, with surface melting at ∼130 K and homogeneous melting at ∼240 K. Na 55, a complete two-shell icosahedron, melts in a single stage at ∼190 K. Our results on homogeneous melting for Na 142 and Na 92 are in excellent agreement with recent experimental determinations of melting temperatures and latent heats. However, the experimentally observed enhancement of the melting temperature around N = 55 is not reproduced by the calculations.

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)0.000
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.255
Teacher spread0.244 · 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

Citations58
Published2001
Admission routes1
Has abstractyes

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Same venueThe Journal of Physical Chemistry BSame topicnanoparticles nucleation surface interactionsFrench-language works237,207