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Record W4295632958 · doi:10.1051/epjap/2022220113

Recent advances in bulk-heterojunction solar cells: a review

2022· review· en· W4295632958 on OpenAlexaff
Ankush Sharma, Dinesh Pathak, Davinder Pal Sharma, Jean‐Michel Nunzi

Bibliographic record

VenueThe European Physical Journal Applied Physics · 2022
Typereview
Languageen
FieldEngineering
TopicOrganic Electronics and Photovoltaics
Canadian institutionsQueen's University
Fundersnot available
KeywordsHeterojunctionPolymer solar cellMaterials scienceEngineering physicsExcitonNanotechnologyOptoelectronicsSolar energyHybrid solar cellSolar cellPhysicsEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

Because of the challenges brought by our continuous reliance on fossil fuels, there has been a rush in the creation of numerous types of solar cells in recent years. The functionality of organic solar cells with a bulk heterojunction structure has substantially increased in recent years. However, further advancements are required for large-scale engineering of this technology and precision device production. The fundamental of BHJ, working mechanism, characteristics, architecture and recent breakthroughs of this technology for solar cells, photocatalytic applications and photodetectors are highlighted in this article. The approaches to advance the stability, including the control over morphology, absorption coefficient, charge carrier mobility and lifetime, exciton lifetime, exciton binding energy and dissociation are also discussed in this article. Lastly, there are recommendations for needed improvements as well as future research areas in the realm of bulk-heterojunction solar cells. We expect this review could provide enriched information to better understand the BHJ structure and recent progress in this field.

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), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.021
GPT teacher head0.249
Teacher spread0.229 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations22
Published2022
Admission routes1
Has abstractyes

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