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The Impact of Different Alkali Metal Ions on Photoluminescence Properties of Ca<sub>10</sub>M(PO<sub>4</sub>)<sub>7</sub>:Eu<sup>2+</sup> (M: Li, Na, K)

2018· article· en· W2788387544 on OpenAlexaff
Jian Zhao, Jun Dong, Jian Zhou, Xiao Wen, Shu Zhong Yang, Ling Shan Luo, Di Wu, Wen Wen Liu, Hou Xiao, You Chi Zhou, Yin Xiao, Fan Yang

Bibliographic record

VenueMaterials science forum · 2018
Typearticle
Languageen
FieldMaterials Science
TopicLuminescence Properties of Advanced Materials
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsPhosphorPhotoluminescenceLuminescenceAlkali metalIonMaterials scienceCrystal (programming language)Analytical Chemistry (journal)Emission spectrumCrystal structureAlkaline earth metalSpectral lineMetalExcitationCrystallographyInorganic chemistryChemistryPhysicsMetallurgyOptoelectronics

Abstract

fetched live from OpenAlex

A series of novel luminescent materials Ca 10 M(PO 4 ) 7 :Eu 2+ (M: Li, Na, K) were synthesized by the solid-state reaction. The previous literatures indicate that the doped different alkali metal ions can only lead to regular shift of the emission and excitation spectra. Howerver, in this paper, we found the result that these three kinds of phosphors showed huge differences between the emission spectra intensity as well as the positions of the excitation and emission spectra peaks. No any regulars can be found. In order to explore it, crystal structure, the performance of photoluminescence spectra and CIE coordinates have been systematically investigated and discussed. In Ca 10 Li (PO 4 ) 7 , Ca 10 Na (PO 4 ) 7 and Ca 10 K(PO 4 ) 7 host lattices, the positions of the cations are different, leading to three different crystal structures. Besides, the coordination conditions of the luminescent centers Eu 2+ ions are also changed by the incorporation of the alkali metal ions. Thus the enormous disparity on the luminescence intensity as well as the excitation and emission peak positions may be ascribed to these three quite different crystal fields and different coordination numbers of the luminescent central ion in the Ca 10 M(PO 4 ) 7 :Eu 2+ (M: Li, Na, K) phosphors.

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)0.011
metaresearch head score (Gemma)0.006
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, Insufficient payload (model declined to judge)
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 score0.020
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.006
Meta-epidemiology (narrow)0.0060.004
Meta-epidemiology (broad)0.0070.002
Bibliometrics0.0030.005
Science and technology studies0.0060.017
Scholarly communication0.0050.008
Open science0.0130.007
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.004

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 head0.019
GPT teacher head0.254
Teacher spread0.235 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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