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Record W4391839859 · doi:10.1002/adma.202313811

Planar Cation Passivation on Colloidal Quantum Dots Enables High‐Performance 0.35–1.8 µm Broadband TFT Imager

2024· article· en· W4391839859 on OpenAlexaff
Yuxuan Liu, Jing Liu, Chengjie Deng, Bo Wang, Bing Xia, Xinyi Liang, Yang Yang, Shengman Li, Xihua Wang, Luying Li, Xinzheng Lan, Peng Fei, Jianbing Zhang, Liang Gao, Jiang Tang

Bibliographic record

VenueAdvanced Materials · 2024
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsUniversity of Alberta
FundersNational Key Research and Development Program of ChinaChina Postdoctoral Science FoundationScience, Technology and Innovation Commission of Shenzhen MunicipalityNational Natural Science Foundation of China
KeywordsPassivationPhotodiodeMaterials scienceOptoelectronicsPhotodetectorWaferQuantum efficiencyDark currentPlanarSpecific detectivityQuantum dotPhotoresistorNanotechnologyLayer (electronics)

Abstract

fetched live from OpenAlex

Abstract Solution‐processed colloidal quantum dots (CQDs) are promising candidates for broadband photodetectors from visible light to shortwave infrared (SWIR). However, large‐size PbS CQDs sensitive to longer SWIR are mainly exposed with nonpolar (100) facets on the surface, which lack robust passivation strategies. Herein, an innovative passivation strategy that employs planar cation, is introduced to enable face‐to‐face coupling on (100) facets and strengthen halide passivation on (111) facets. The defect density of CQDs film (E g ≈ 0.74 eV) is reduced from 2.74 × 10 15 to 1.04 × 10 15 cm −3 , coupled with 0.1 eV reduction in the activation energy of defects. The resultant CQDs photodiodes exhibit a low dark current density of 14 nA cm −2 with a high external quantum efficiency (EQE) of 62%, achieving a linear dynamic range of 98 dB, a −3dB bandwidth of 103 kHz and a detectivity of 4.7 × 10 11 Jones. The comprehensive performance of the CQDs photodiodes outperforms previously reported CQDs photodiodes operating at >1.6 µm. By monolithically integrated with thin‐film transistor (TFT) readout circuit, the broadband CQDs imager covering 0.35‐1.8 µm realizes the functions including silicon wafer perspectivity and material discrimination, showing its potential for wide range of applications.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.234
Teacher spread0.222 · 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; both teacher heads agree on what is shown here.

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

Citations31
Published2024
Admission routes1
Has abstractyes

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