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Record W4285306019 · doi:10.54227/mlab.20220019

Combined Purification and Crystal Growth of CsPbBr3 by Modified Zone Refining

2022· article· en· W4285306019 on OpenAlexafffund
Pengli Wang

Bibliographic record

VenueMaterials Lab · 2022
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Ontario
KeywordsStoichiometryImpurityMaterials scienceCrystal (programming language)Perovskite (structure)Analytical Chemistry (journal)Refining (metallurgy)CrystalliteElectrical resistivity and conductivitySingle crystalPhotosensitivityCrystal growthChemistryCrystallographyPhysical chemistryOptoelectronicsMetallurgyChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

The all-inorganic semiconducting perovskite Cesium Lead Bromide, CsPbBr3, exhibits promising properties for ionizing radiation detection applications. In this work, polycrystalline CsPbBr3 was synthesized from the melt of binary compounds CsBr and PbBr2. Moisture and oxides in the synthesized CsPbBr3 compounds were removed by a reduction process under hydrogen. The CsPbBr3 materials were purified and grown into high-quality single crystals via a modified zone refining process. The single-crystal samples obtained from the combined zone-refining/crystal growth process exhibited total trace impurity levels below 1 ppm (w.t.). Obtained single crystals exhibited an electrical resistivity within a range of 10^8~10^9 Ω·cm. Stoichiometry imbalance was observed in the CsPbBr3 crystal growth. Around 1% Cs deficiency was observed in all the samples, despite different ratios between the starting materials of PbBr2 and CsBr. The positive impact of excess PbBr2 in starting materials was also revealed. With a slight excess Pb (2%), CsPbBr3 single crystals displayed significantly higher photosensitivity compared to the stoichiometric or excess Cs samples.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.191
Teacher spread0.182 · 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 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
Published2022
Admission routes2
Has abstractyes

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