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Record W4407098499 · doi:10.1021/acs.jchemed.4c01431

Synthesis of Luminescent Mn<sup>2+</sup> and Sb<sup>3+</sup> Doped Chloride Double Perovskites: An Adaptable, Inquiry-Based Experiment for Short Laboratory Sessions

2025· article· en· W4407098499 on OpenAlexafffund
Maxwell K. Wallace, Jason Cooke

Bibliographic record

VenueJournal of Chemical Education · 2025
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsUniversity of Alberta
FundersUniversity of AlbertaColorado State University
KeywordsDopingChlorideInorganic chemistryRadiochemistryLuminescenceChemistryNuclear chemistryMaterials scienceOrganic chemistryOptoelectronics

Abstract

fetched live from OpenAlex

Mn 2+ and Sb 3+ doped Cs 2 NaB′Cl 6 (B′ = Bi 3+ and In 3+ ) double perovskites are prepared via a solution-based synthesis method. Certain Sb 3+ doped samples exhibit a vivid blue emission, while the Mn 2+ doped samples emit a less intense red-orange light under UV illumination. Characterization of these compounds is accomplished by a combination of powder X-ray diffraction (PXRD), scanning electron microscopy (SEM-EDS), and photoluminescence measurements. The synthesized perovskite materials possess a cubic structure, making them ideal specimens for students who are new to solid-state structures. Students utilize computer-based visualization to examine the 3D halide double perovskite structure and determine unit cell dimensions of the synthesized materials through powder X-ray diffraction data. Additionally, students can investigate the photoluminescent properties using a hand-held UV lamp and a fluorometer. The experiments offer adaptability to fit various laboratory schedules and cater to students with diverse skill levels. Each part of the experiment is structured to be finished within one to two 3 h laboratory sessions. This adaptable and inquiry-focused lab framework offers educators a versatile and effective teaching tool to enhance students’ understanding of solid-state structures and their luminescent properties, making it a valuable addition to undergraduate inorganic chemistry courses.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.003
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.018
GPT teacher head0.296
Teacher spread0.278 · 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

Citations4
Published2025
Admission routes2
Has abstractyes

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