MétaCan
Menu
Back to cohort
Record W2400674737 · doi:10.1002/macp.201600061

High‐Detectivity All‐Polymer Photodetectors with Spectral Response from 300 to 1100 nm

2016· article· en· W2400674737 on OpenAlex
Ji Qi, Wenqiang Qiao, Xiaokang Zhou, Dezhi Yang, Jidong Zhang, Dongge Ma, Zhi Yuan Wang

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

VenueMacromolecular Chemistry and Physics · 2016
Typearticle
Languageen
FieldEngineering
TopicOrganic Electronics and Photovoltaics
Canadian institutionsCarleton University
Fundersnot available
KeywordsPhotodetectorMaterials sciencePolymerStackingSpecific detectivityOptoelectronicsDark currentComposite materialChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Broad‐response and high‐detectivity for all‐polymer photodetectors based on p‐ and n‐type semiconducting polymers have been achieved through optimization of polymer property and film microstructure. The electron‐donating units in the p‐type polymers affect a great deal of the polymer properties such as solubility, absorption spectra, and electronic energy levels, which in turn can influence the device performance. The polymer (P3) based on dithienopyrrole and diketopyrrolopyrrole is most promising for photodetector applications, as it possesses the suitable energy level with regard to the n‐type polymer and exhibits appropriate film morphology and molecular stacking with aid of 1,8‐diiodooctane as an additive during film processing. The photodetector based on P3/poly{[ N , N′ ‐bis(2‐octyldodecyl)‐naphthalene‐1,4,5,8‐bis(dicarboximide)‐2,6‐diyl]‐alt‐5,5′‐(2,2′‐bithiophene)} (PNDI) exhibits good response from 300 to 1100 nm and nearly constant detectivity ( D *) above 10 12 Jones at 330–980 nm, rendering a great potential of all‐polymer photodetectors for practical applications. image

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.896

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 head0.003
GPT teacher head0.171
Teacher spread0.168 · 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