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Record W1995620670 · doi:10.1088/0953-8984/22/9/095503

First-principles studies of liquid lithium under pressure

2010· article· en· W1995620670 on OpenAlexaff
Jianjun Yang, John S. Tse, Toshiaki Iitaka

Bibliographic record

VenueJournal of Physics Condensed Matter · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsUniversity of Saskatchewan
FundersRIKEN
KeywordsLithium (medication)Materials scienceMolecular dynamicsRange (aeronautics)Similarity (geometry)ThermodynamicsPhase (matter)Compression (physics)Chemical physicsElectronic structureChemistryComputational chemistryPhysicsComputer scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Effects of compression on the structural and electronic properties of liquid lithium are investigated with first-principles molecular dynamics calculations. Within a large pressure range up to 60 GPa, along isotherms from 600 to 1000 K, several structural transformations were found. The liquid structures at high pressure are found to be not sensitive to the temperature within this range. It is shown that the radial distribution functions broadly resemble the corresponding solid phases, particularly at low pressures. The evolution of the electronic structure under pressure also shows a remarkable similarity to the underlying solid. However, detailed analyses of the temporal liquid inherent structures show that the instantaneous short-range order may differ significantly from the underlying known solid phase.

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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.250
Teacher spread0.223 · 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

Citations13
Published2010
Admission routes1
Has abstractyes

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