MétaCan
Menu
Back to cohort
Record W2471505528 · doi:10.17576/mjas-2016-2001-07

EFFECT OF SILVER NANOPARTICLE ADDITION ON THE STRUCTURE AND CHARACTERISTICS OF RADIO-PHOTOLUMINESCENCE GLASS DOSIMETER

2016· article· en· W2471505528 on OpenAlexaff
Irman Abdul Rahman, Muhammad Taqiyuddin Mawardi Ayob, Hur Munawar Kabir Mohd, Ainee Fatimah Ahmad, Shamellia Sharin, Faizal Mohamed, Sidek Ab Aziz, Shahidan Radiman

Bibliographic record

VenueMalaysian Journal of Analytical Science · 2016
Typearticle
Languageen
FieldMaterials Science
TopicLuminescence Properties of Advanced Materials
Canadian institutionsInstitute of Aging
FundersPusat Pengurusan Penyelidikan dan InstrumentasiUniversiti Kebangsaan Malaysia
KeywordsPhotoluminescenceDosimeterMaterials scienceNanoparticleChemical engineeringOptoelectronicsNanotechnologyOpticsRadiationPhysics

Abstract

fetched live from OpenAlex

A series of silver-activated phosphate glass was prepared by melt quenching method. The effect of silver nanoparticle addition on the phosphate glass microstructure, composition and chemical characteristics was investigated using x-ray diffraction, fourier transform infrared and photoluminescence spectroscopy. Other physical property such as density was also evaluated. The density increased when the amount of silver ions were increased, due to the enhanced formation of non-bridging oxygen. In this study, we discuss the emission mechanism of two radio-photoluminescence peaks at 460 nm and 620 nm, where the electrons and holes produced by -irradiation a re-trapped by Ag + ions to produce Ag 0 and Ag 2+ ions respectively, when the Ag + -doped phosphate glass is exposed to -ray. We proposed that an emission mechanism of 460 and 620 nm radio-photoluminescence peaks with these Ag 2+ and Ag 0 ions. Furthermore, a correlation between the investigated properties and glass composition is discussed.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
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 score0.006
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.007
GPT teacher head0.236
Teacher spread0.228 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueMalaysian Journal of Analytical ScienceSame topicLuminescence Properties of Advanced MaterialsFrench-language works237,207