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Record W2315860277 · doi:10.1103/physrevb.86.064107

High-pressure phases of lithium borohydride LiBH<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mrow/><mml:mn>4</mml:mn></mml:msub></mml:math>: A first-principles study

2012· article· lv· W2315860277 on OpenAlexaff
Yansun Yao, D. D. Klug

Bibliographic record

VenuePhysical Review B · 2012
Typearticle
Languagelv
FieldMaterials Science
TopicHydrogen Storage and Materials
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsLithium (medication)Materials scienceComputer scienceBiology

Abstract

fetched live from OpenAlex

High-pressure phase transformations in LiBH${}_{4}$ were theoretically investigated using first-principles density functional methods. A series of pressure-induced structural transformations are predicted in LiBH${}_{4}$, as Pnma (phase II) \ensuremath{\rightarrow} $I$4${}_{1}$/acd (phase III) \ensuremath{\rightarrow} NaCl type (phase V) \ensuremath{\rightarrow} NiAs type (phase VI) \ensuremath{\rightarrow} polymeric forms. The calculated pressures for the II \ensuremath{\rightarrow} III transition and the III \ensuremath{\rightarrow} V transition are 0.9 and 27 GPa, respectively, and both agree very well with recent experimental observations. A B1-B8 transformation becomes more favored at higher pressure, and this results in a distorted NiAs structure of LiBH${}_{4}$. Denoted as phase VI, the distorted NiAs structure is the lowest enthalpy phase of LiBH${}_{4}$ above 60 GPa and confirmed to be dynamically stable by phonon calculations. The ionic character and band gap of the phase VI decreases with increasing pressure. At still higher pressures, the extended structures formed by polymeric BH${}_{4}$ layers intercalated by Li${}^{\ensuremath{\delta}+}$ cations may exist, and these represent the metallic forms of LiBH${}_{4}$.

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 score0.009

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)0.0030.000

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 head0.029
GPT teacher head0.284
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

Citations17
Published2012
Admission routes1
Has abstractyes

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Same venuePhysical Review BSame topicHydrogen Storage and MaterialsFrench-language works237,207