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Record W2521983190 · doi:10.1073/pnas.1601254113

Crystal structures and dynamical properties of dense CO <sub>2</sub>

2016· article· en· W2521983190 on OpenAlexaff
Xue Yong, Hanyu Liu, Min Wu, Yansun Yao, John S. Tse, Ranga Dias, Choong-Shik Yoo

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsUniversity of Saskatchewan
FundersDefense Sciences Office, DARPANational Science FoundationAdvanced Research Projects AgencyDivision of Materials ResearchChina Scholarship CouncilU.S. Department of Energy
KeywordsMetastabilityMetadynamicsMolecular dynamicsAmbient pressureMaterials scienceThermodynamicsCrystal structureCrystallographyStructural stabilityPhase (matter)Chemical physicsDiffractionChemistryComputational chemistryPhysics

Abstract

fetched live from OpenAlex

Significance Using multiple theoretical techniques, the temperature and pressure dependence of the structures and dynamics of dense CO 2 were investigated. Near the transition to the extended structure, CO 2 molecules were found to exhibit large-amplitude bending vibrations. A 4-coordinated Pna 2 1 structure (CO 2 -V′) with a diffraction pattern similar to CO 2 -V ( P2 1 2 1 2 1 ) was found. Both CO 2 -V and -V′ are predicted to be metastable at ambient pressure. This result is in agreement with the experimental recovery of CO 2 -V below 200 K at ambient pressure. This 4-coordinated structure formed from main group molecules was recovered from high pressure. Both recovered fully extended CO 2 solids possess high- energy density and hardness.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.021
GPT teacher head0.230
Teacher spread0.209 · 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

Citations35
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of SciencesSame topicHigh-pressure geophysics and materialsFrench-language works237,207