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Record W2808159197 · doi:10.3389/fchem.2018.00260

Two Novel Small Molecule Donors and the Applications in Bulk-Heterojunction Solar Cells

2018· article· en· W2808159197 on OpenAlexfundno aff
Xin Qi, Yuan‐Chih Lo, Yifan Zhao, Liyang Xuan, Hao‐Chun Ting, Ken‐Tsung Wong, Mostafizur Rahaman, Zhijian Chen, Lixin Xiao, Bo Qu

Bibliographic record

VenueFrontiers in Chemistry · 2018
Typearticle
Languageen
FieldEngineering
TopicOrganic Electronics and Photovoltaics
Canadian institutionsnot available
FundersInstitute of Population and Public HealthNational Fund for Fostering Talents of Basic ScienceKing Saud UniversityNational Natural Science Foundation of China
KeywordsHeterojunctionMaterials scienceMoleculeNanotechnologySmall moleculeOptoelectronicsChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Two novel small molecules DTRDTQX and DTIDTQX, based on ditolylaminothienyl group as donor moiety and quinoxaline as middle acceptor moiety with different terminal acceptor groups were synthesized and characterized in this work. In order to study the photovoltaic properties of DTRDTQX and DTIDTQX, bulk-heterojunction solar cells with the configuration of FTO/c-TiO2/DTRDTQX(or DTIDTQX):C70/MoO3/Ag were fabricated, in which DTRDTQX and DTIDTQX acted as the donors and neat C70 as the acceptor. When the weight ratio of DTRDTQX:C70 reached 1:2 and the active layer was annealed at 100℃, the optimal device was realized with the power conversion efficiency (PCE) of 1.44%. As to DTIDTQX:C70-based devices, the highest PCE of 1.70% was achieved with the optimal blend ratio (DTIDTQX:C70=1:2) and 100℃ thermal annealing treatment. All the experimental data indicated that DTRDTQX and DTIDTQX could be employed as potential donor candidates for organic solar cell applications.

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 score0.059
Threshold uncertainty score0.348

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)0.0000.000

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 head0.004
GPT teacher head0.176
Teacher spread0.172 · 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

Citations16
Published2018
Admission routes1
Has abstractyes

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