MétaCan
Menu
Back to cohort
Record W3040169454 · doi:10.1002/smtd.202000303

Low‐Dimensional‐Networked Cesium Lead Halide Perovskites: Properties, Fabrication, and Applications

2020· article· en· W3040169454 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSmall Methods · 2020
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsWestern UniversityUniversity of Waterloo
FundersHigher Education Discipline Innovation ProjectCollaborative Innovation Center of Suzhou Nano Science and TechnologyPriority Academic Program Development of Jiangsu Higher Education InstitutionsNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsHalideCaesiumFabricationMaterials scienceNanotechnologyPerovskite (structure)Lead (geology)OptoelectronicsChemistryInorganic chemistryCrystallography

Abstract

fetched live from OpenAlex

Abstract All‐inorganic cesium lead halide perovskites have emerged as promising optoelectronic materials with excellent photophysical properties and great potential in a variety of applications. In parallel with the most investigated CsPbX 3 , its derivates, Cs 4 PbX 6 and CsPb 2 X 5 , with low‐dimensional‐networked structures have also attracted great attention. In this review, recent advancements on the low‐dimensional‐networked cesium lead halide perovskites (Cs 4 PbX 6 and CsPb 2 X 5 ) are reviewed systematically. The optical properties and direct controllable synthesis methods are first introduced. The transformation between Cs x Pb y X z and their hybridization are then presented, followed by their wide applications. Finally, challenges and prospects of this class of perovskites are introduced.

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.

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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.566
Threshold uncertainty score0.721

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 head0.049
GPT teacher head0.273
Teacher spread0.224 · 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