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Record W4405187328 · doi:10.1016/j.cocis.2024.101890

Recent progress in I-III-VI colloidal quantum dots-integrated solar cells

2024· article· en· W4405187328 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

VenueCurrent Opinion in Colloid & Interface Science · 2024
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsQuantum dotNanotechnologyColloidMaterials scienceEngineering physicsPhysicsEngineeringChemical engineering

Abstract

fetched live from OpenAlex

Colloidal quantum dots (CQDs) have emerged as an important class of nanocrystal materials for solar cell applications due to their outstanding properties, including tunable band gap, high charge carrier mobility, remarkable light absorption range, solution-processability, scalability, etc . The Lead (Pb)/Cadmium (Cd)-free I-III-VI QDs, designed by the reasonable chemical substitution of Pb and Cd with non-toxic elements, are booming as an attractive alternative for practical applications. This review summarizes the recent progress in designing typical I-III-VI QDs and their application in various emerging solar cell applications. The performance improvement of various solar cells due to the integration of QDs having different roles and modified device structures is summarized. In addition, the fundamentals of the I-III-VI QDs, including their crystalline structure, optical properties, and synthesis mechanisms, are described. Finally, we provide perspectives on the current status, challenges, and future directions of I-III-VI QDs-integrated solar cells.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
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 score0.292
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.050
GPT teacher head0.343
Teacher spread0.293 · 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