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Record W3016887088 · doi:10.1002/solr.202000140

Integrated Perovskite/Organic Photovoltaics with Ultrahigh Photocurrent and Photoresponse Approaching 1000 nm

2020· article· en· W3016887088 on OpenAlexaff
Mingyu Zhang, Tengfei Li, Jinde Yu, Guanghao Lu, Huanping Zhou, Xiaowei Zhan

Bibliographic record

VenueSolar RRL · 2020
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsMinistry of Education and Child Care
FundersNational Natural Science Foundation of China
KeywordsPerovskite (structure)PhotocurrentMaterials scienceOptoelectronicsOrganic solar cellPhotovoltaicsAbsorption (acoustics)Hybrid solar cellHeterojunctionPolymer solar cellBand gapElectron acceptorAcceptorPhotovoltaic systemEnergy conversion efficiencyPolymerPhotochemistryChemistryCrystallography

Abstract

fetched live from OpenAlex

To enhance the photoresponse of commonly used perovskite materials in the near‐infrared (NIR) region, a fused‐ring electron acceptor (F8IC) with strong NIR absorption and high electron mobility is used to blend with a narrow‐bandgap polymer donor (PTB7‐Th) to construct an organic bulk heterojunction (OBHJ), and this OBHJ is then integrated with the perovskite solar cells (PSCs). The integrated perovskite/OBHJ solar cells exhibit a strong photoresponse approaching 1000 nm and an ultrahigh short‐circuit current density of 28.2 mA cm−2, which is much higher than that of traditional PSCs and organic solar cells.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 head0.011
GPT teacher head0.186
Teacher spread0.175 · 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 source (direct Gemma or distilled Codex), 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

Citations26
Published2020
Admission routes1
Has abstractyes

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