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Record W2996470842 · doi:10.1021/acsphotonics.9b01455

Stable Efficient Methylammonium Lead Iodide Thin Film Photodetectors with Highly Oriented Millimeter-Sized Crystal Grains

2019· article· en· W2996470842 on OpenAlexafffund
Md. Mehedi Hasan, Charlotte Clegg, Max Manning, Ahmed El Ghanam, Su Chen, Matthew Harding, Craig Bennett, Ian G. Hill, Ghada I. Koleilat

Bibliographic record

VenueACS Photonics · 2019
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsAcadia UniversityDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsMaterials scienceThin filmResponsivityGrain sizeCrystal (programming language)Grain boundarySpin coatingPhotodetectorOptoelectronicsComposite materialNanotechnology

Abstract

fetched live from OpenAlex

The size of crystal grains in lead halide perovskite thin films remains a vital design feature for durable optoelectronic devices. With larger crystals and reduced grain boundaries per surface area, the stability of the structures improves as degradation, caused by moisture and oxygen percolating into the grain boundaries, is minimized. Thus far, large scale continuous lateral films of methylammonium lead iodide (MAPbI3) with macroscale crystal grains compatible with thin film (<1 μm thick) solar cells and photodetectors have not been reported. Herein, we employ meniscus-guided blade coating technique to grow thin films of highly oriented millimeter-size MAPbI3 crystals, resulting in over an order of magnitude responsivity enhancement over spin-coated films in lateral photoconductors with channel lengths over 100 μm. Furthermore, the blade-coated MAPbI3 thin films exhibit anisotropic higher conductivity along crystal grains over a millimeter range. With crystals orders of magnitude larger in size, and with no additive treatment or additional layers, blade-coated devices manifest improved stability and retain over 80% of their performance tested in ambient air for over 300 h in comparison to spin-coated devices that reach less than 50% of their original peformance within the first 36 h.

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 categoriesMeta-epidemiology (narrow)
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 score0.078
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)0.0000.000

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 head0.006
GPT teacher head0.197
Teacher spread0.190 · 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

Citations11
Published2019
Admission routes2
Has abstractyes

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