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Record W4378228090 · doi:10.1002/aenm.202370081

Structurally Driven Ultrafast Charge Funneling in Organic Bulk Heterojunction Hole Transport Layer for Efficient Colloidal Quantum Dot Photovoltaics (Adv. Energy Mater. 20/2023)

2023· article· en· W4378228090 on OpenAlexaff
Jonghee Yang, Ashish Sharma, Jung Won Yoon, Watcharaphol Paritmongkol, Seungjin Lee, Hyungju Ahn, Wooseop Lee, Hochan Song, Woo Hyeon Jeong, Bo Ram Lee, Seo‐Jin Ko, Mahshid Ahmadi, Edward H. Sargent, Hyosung Choi

Bibliographic record

VenueAdvanced Energy Materials · 2023
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhotovoltaicsMaterials scienceHeterojunctionQuantum dotOptoelectronicsCharge (physics)NanotechnologyUltrashort pulseActive layerColloidLayer (electronics)Photovoltaic systemChemical engineeringOpticsPhysics

Abstract

fetched live from OpenAlex

Colloidal Quantum Dot Photovoltaics In article number 2203749, Edward H. Sargent, Hyosung Choi, and co-workers demonstrate a random-oriented, but closed-packed organic bulk heterojunction structure realized by solvent selection and compositional design. This enables excellent vertical charge conduction and ultrafast hole funneling that minimizes recombination. By integrating the film as a hole transport layer, high-performance colloidal quantum dot photovoltaics are demonstrated.

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 categoriesMeta-epidemiology (narrow), 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 score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.017
GPT teacher head0.234
Teacher spread0.217 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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