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Record W2991258519 · doi:10.1039/c9ta12736d

3D low toxicity Cu–Pb binary perovskite films and their photoluminescent/photovoltaic performance

2019· article· en· W2991258519 on OpenAlexfundno aff
Xin Ge, Xin Qu, He Li, Yansen Sun, Xin Guan, Zhenyu Pang, Ce Wang, Lili Yang, Fengyou Wang, Federico Rosei

Bibliographic record

VenueJournal of Materials Chemistry A · 2019
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsnot available
FundersEducation Department of Jilin ProvinceNational Natural Science Foundation of ChinaCanada Research Chairs
KeywordsMaterials sciencePhotovoltaic systemPerovskite (structure)Grain sizePhotoluminescencePlanarHysteresisChemical engineeringBinary numberOptoelectronicsComposite materialCondensed matter physicsComputer sciencePhysics

Abstract

fetched live from OpenAlex

The 3D low-toxic Cu–Pb binary perovskite films with improved geometric symmetry and typical 2 μm grain size have been prepared, which can achieve a six fold increase in PL intensity and a PCE of 5.1% with suppressed hysteresis for planar 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.

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 categoriesInsufficient 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 score0.004
Threshold uncertainty score1.000

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)0.0010.000

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 head0.005
GPT teacher head0.183
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 teacher head, not a consensus.

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

Citations40
Published2019
Admission routes1
Has abstractyes

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