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Record W4414798349 · doi:10.1073/pnas.2510213122

Electronic origin of the anomalous melting of sodium under pressure

2025· article· en· W4414798349 on OpenAlexaff
Hanyu Liu, John S. Tse

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsUniversity of Saskatchewan
FundersFundamental Research Funds for the Central UniversitiesJilin UniversityProgram for Jilin University Science and Technology Innovative Research TeamNational Natural Science Foundation of China
KeywordsMolecular dynamicsElectronElectronic structureMelting pointMelting temperatureAb initio

Abstract

fetched live from OpenAlex

Despite extensive experimental and theoretical investigations, the fundamental electronic origin of compressed sodium's melting temperature reversal under pressure, characterized by a maximum and a minimum in its melting curve, remains unclear. A recent two-state model proposed for high-pressure potassium, which exhibits a similar melting anomaly, attributes this behavior to changes in the distribution of non-nuclear localized electrons (electrides), resulting in distinct liquid phases. To test this hypothesis for sodium, we conducted ab initio molecular dynamics simulations to examine its atomic dynamics and electronic properties under high pressure. Our results reveal no discontinuities in atomic or electronic transport properties, nor any evidence of multiple inherent structural forms. Furthermore, the electronic screening potential governing liquid structure remains largely unchanged above 50 GPa. Instead, we find that the key parameter responsible for the melting anomaly arises from differences in the average number of electrons per non-nuclear maximum, which affects the relative packing densities of the liquid and solid phases.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.260
Teacher spread0.242 · 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 designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of Sciences→Same topicHigh-pressure geophysics and materials→French-language works237,207→