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Record W2030900664 · doi:10.5539/apr.v6n3p90

Comparative Studies on Electronic Structures and Surface Acoustic Wave Properties of (Ca, Sr, Pb)<sub>3</sub>Ga<sub>2</sub>Ge<sub>3</sub>O<sub>14</sub> Piezoelectric Crystals

2014· article· en· W2030900664 on OpenAlexvenueno aff
Wenqi Huang, Hong Yang

Bibliographic record

VenueApplied Physics Research · 2014
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Resonator Technologies
Canadian institutionsnot available
FundersChinese Academy of Sciences
KeywordsPower flowSurface acoustic waveDiffractionValence (chemistry)Electronic structureCrystal (programming language)Condensed matter physicsMaterials scienceMolecular physicsPhysicsCrystallographyOpticsChemistryPower (physics)Thermodynamics

Abstract

fetched live from OpenAlex

The electronic structural and surface acoustic wave (SAW) properties of Ca3Ga2Ge3O14 (CGG), Sr3Ga2Ge3O14 (SGG) and Pb3Ga2Ge3O14 (PGG) crystals have been investigated. The first-principle calculations show that CGG and SGG have similar electronic structure properties, the remarkable difference between PGG and another two crystals is the absence of lower part of valence band. Both the calculated effective charges and bond populations show that there is considerable covalency between cations and O atom. The calculated SAW results show that PGG has the lowest velocities because of its highest density, SGG has the highest electromechanical coupling coefficients, CGG and SGG have more zero power flow angles and negligible diffraction angles than PGG crystal. Some promising cut-types such as Y-cut 148o of SGG, X-cut 154o of CGG and Y-cut 0o of PGG have been selected for their SAW applications.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
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 score0.038
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0070.006
Meta-epidemiology (broad)0.0090.002
Bibliometrics0.0040.009
Science and technology studies0.0040.006
Scholarly communication0.0020.002
Open science0.0060.005
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0000.001

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 head0.043
GPT teacher head0.287
Teacher spread0.243 · 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; both teacher heads agree on what is shown here.

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
Published2014
Admission routes1
Has abstractyes

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