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Record W4310724641 · doi:10.1080/00150193.2022.2115813

Multifunctional characteristics of zero-dimensional hybrid organic manganese chloride perovskites

2022· article· en· W4310724641 on OpenAlexaff
Suwitra Charoensuk, Samanya Paramee, Bhumin Than‐ardna, Mohini Sain, Hathaikarn Manuspiya

Bibliographic record

VenueFerroelectrics · 2022
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials sciencePerovskite (structure)HalideBismuthBand gapFerroelectricityLead chlorideTinOptoelectronicsManganeseOctahedronTransition metalPolarization (electrochemistry)DielectricInorganic chemistryChlorideCrystal structureChemical engineeringCrystallographyPhysical chemistry

Abstract

fetched live from OpenAlex

In recent years, metal halide perovskites have been developed to create materials that are nontoxic and highly luminescent. Tin, copper, germanium, zinc, bismuth, and other lead-free perovskites have been produced the potential applications in optoelectronic devices. Here, the zero-dimensional hybrid inorganic-organic perovskite structure of hexaimidazolium tetrachloromanganate(II) hexachloromanganate(II), (C3H5N2)6[MnCl4][MnCl6] or HImMC, with red Mn2+-centered phosphorescence at 660 nm with (t2g)3(eg)2 → (t2g)4(eg)1 electronic transition in octahedral geometry and stability under high temperature (∼450 K), is reported. The optical band gap of HImMC is about 3.8 eV. Moreover, this 0 D hybrid perovskite exhibit large ferroelectric spontaneous polarization of 3.2 μC/cm2 at room temperature. Hence, the newly described member of the 0 D organic-inorganic hybrid perovskite family holds significant promise for optoelectronic devices.

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 score0.001
Threshold uncertainty score0.003

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 integrity0.0000.000
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 head0.185
Teacher spread0.178 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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