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Record W1970770733 · doi:10.1103/physrevb.72.214108

Layered single-bonded nonmolecular phase of nitrogen from first-principles simulation

2005· article· en· W1970770733 on OpenAlexafffund
Federico Zahariev, Amanda Hu, James Hooper, F. Zhang, Tom K. Woo

Bibliographic record

VenuePhysical Review B · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsUniversity of OttawaDefence Research and Development CanadaWestern University
FundersDefence Research and Development Canada
KeywordsMetastabilityEnthalpyPhase diagramPhase (matter)NitrogenMaterials scienceCrystallographySolid nitrogenThermodynamicsPhysicsChemistry

Abstract

fetched live from OpenAlex

A phase of nonmolecular nitrogen, found by first-principles density functional theory simulations at high pressures is reported. The phase has a $P{2}_{1}∕m$ symmetry and consists of two-dimensional layers of fused ${\mathrm{N}}_{6}$-rings where the rings are all in the boat conformation. The phase has been designated the layered boat or LB phase. Properties of LB are presented in comparison with other computationally studied polymeric phases of nitrogen. In particular, the structure of LB is compared to two other layered phases, black-phosphorus (BF) and $\ensuremath{\alpha}$-arsenic $(A7)$. A calculated enthalpy versus pressure phase diagram reveals that LB lies between BF and $A7$ in enthalpy at pressures less than $200\phantom{\rule{0.3em}{0ex}}\mathrm{GPa}$. At pressures higher than this, the enthalpy of LB edges above that of $A7$. The metastability of LB at low pressures is probed by a few simple tests and the band structure is calculated.

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 score0.010
Threshold uncertainty score0.021

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 science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.044
GPT teacher head0.299
Teacher spread0.255 · 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

Citations101
Published2005
Admission routes2
Has abstractyes

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Same venuePhysical Review BSame topicHigh-pressure geophysics and materialsFrench-language works237,207