MétaCan
Menu
Back to cohort
Record W2983970344 · doi:10.1039/c9qm00605b

Efficient as-cast thick film small-molecule organic solar cell with less fluorination on the donor

2019· article· en· W2983970344 on OpenAlexaff
Kai Wang, Xin Song, Xiao Guo, Yunhao Wang, Xue Lai, Fei Meng, Mengzhen Du, Dongyu Fan, Renyun Zhang, Gongqiang Li, Aung Ko Ko Kyaw, Jianpu Wang, Wei Huang, Derya Baran

Bibliographic record

VenueMaterials Chemistry Frontiers · 2019
Typearticle
Languageen
FieldEngineering
TopicOrganic Electronics and Photovoltaics
Canadian institutionsKootenay Association for Science & Technology
FundersShenzhen Peacock PlanNational Key Research and Development Program of ChinaKing Abdullah University of Science and TechnologyRecruitment Program of Global ExpertsGovernment of Jiangsu ProvinceNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of ChinaScience, Technology and Innovation Commission of Shenzhen MunicipalityNational Science Foundation
KeywordsMaterials scienceSolar cellMoleculeOrganic solar cellSmall moleculeOptoelectronicsOrganic moleculesNanotechnologyChemistryComposite materialOrganic chemistryPolymer

Abstract

fetched live from OpenAlex

Less fluorination, better performance! Devices based on <bold>DI3T-1F</bold> :PC <sub>71</sub> BM and <bold>DI3T-2F</bold> :PC <sub>71</sub> BM are fabricated for thick-film small molecule-solar cells (SMSCs). Indeed, the devices based on <bold>DI3T-1F</bold> the devices based on <bold>DI3T-1F</bold> show a better tolerance to thickness, giving PCE of 8.33% with ∼150 nm, and 5.43% with ∼300 nm, which are 14% and 50% higher than those of <bold>DI3T-2F</bold> , respectively.

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 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 score0.005
Threshold uncertainty score0.868

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 head0.004
GPT teacher head0.152
Teacher spread0.148 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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 routes1
Has abstractyes

Explore more

Same venueMaterials Chemistry FrontiersSame topicOrganic Electronics and PhotovoltaicsFrench-language works237,207