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Record W3034642323 · doi:10.1002/ajoc.202000231

Water Compatible Direct (Hetero)arylation Polymerization of PPDT2FBT: A Pathway Towards Large‐Scale Production of Organic Solar Cells

2020· article· en· W3034642323 on OpenAlexafffund
Mathieu Mainville, Vicky Tremblay, Miriam Z. Fenniri, Audrey Laventure, Mahmoud E. Farahat, Ryan Ambrose, Gregory C. Welch, Ian G. Hill

Bibliographic record

VenueAsian Journal of Organic Chemistry · 2020
Typearticle
Languageen
FieldEngineering
TopicOrganic Electronics and Photovoltaics
Canadian institutionsUniversity of CalgaryDalhousie UniversityUniversité Laval
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryPolymerizationOrganic solar cellAqueous solutionEnergy conversion efficiencyChemical engineeringScalingPolymerNanotechnologyOrganic chemistryOptoelectronicsMaterials science

Abstract

fetched live from OpenAlex

Abstract The interest in organic solar cells (OSCs) has grown exponentially over the last few years and devices are approaching a symbolic power conversion efficiency (PCE) of 20%. However, many challenges related to scaling‐up several processes must be addressed before this technology can reach the production scale. In order to facilitate the scaled‐up production of OSCs, the synthesis of an efficient and cost‐effective conjugated polymer, PPDT2FBT, was adapted to a water‐based method of direct (hetero)arylation polymerization (DHAP). This aqueous DHAP method yields molecular weights (M n ) between 20 and 80 kg mol −1 , which can be controlled by manipulating the polymerization time and temperature. The varying polymer molecular weights were used for the fabrication of OSCs with PC 61 BM and air‐processed in non‐halogenated solvents. When the 40 kg mol −1 PPDT2FBT:PC 61 BM active layer is slot‐die coated, PCEs of 8.15% were attained under standard one sun illumination. The temporal stability of the devices under constant illumination showed a 80% PCE loss after 220 hours (T S80 ), after the initial ‘‘burn‐in’’.

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 score0.004
Threshold uncertainty score0.829

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 head0.005
GPT teacher head0.171
Teacher spread0.167 · 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

Citations23
Published2020
Admission routes2
Has abstractyes

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