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Record W4408991396 · doi:10.1021/acsnano.4c16916

22.1% Carbon-Electrode Perovskite Solar Cells by Spontaneous Passivation and Self-Assembly of Hole-Transport Bilayer

2025· article· en· W4408991396 on OpenAlexaff
Junjie Tong, Chen Dong, Miaosen Yao, Qichao Wang, Chenlei Shen, Yan Lei, Yueyue Gao, Gentian Yue, Weifeng Zhang, Makhsud I. Saidaminov, Furui Tan

Bibliographic record

VenueACS Nano · 2025
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsUniversity of Victoria
FundersNational Natural Science Foundation of China
KeywordsPassivationBilayerMaterials sciencePerovskite (structure)ElectrodeCarbon fibersOptoelectronicsNanotechnologyChemical engineeringLayer (electronics)MembraneChemistryPhysical chemistryComposite material

Abstract

fetched live from OpenAlex

Low-temperature printable carbon-electrode perovskite solar cells (C-PSCs) promise commercially scalable and stable low-cost photovoltaic solutions. However, they suffer from low efficiency due to severe performance losses at the perovskite and carbon interface. Here, we propose a spontaneous interface assembly and passivation strategy based on a P3HT/NiO x hole-transport bilayer by introducing quaternary ammonium bromide surfactants into NiO x nanoparticles, and reveal the significant influences from their alkyl chains. Experimental and theoretical results demonstrate that hexyl trimethylammonium bromide (HTAB), with its optimal alkyl chain length, not only ensures the improved monodispersity and film quality of NiO x nanoparticles but also matches and interacts strongly with P3HT side chains, significantly enhancing the molecular orientation of P3HT for superior electronic contact and efficient hole transport between P3HT and HTAB-NiO x . In addition, the Br – ions in HTAB-NiO x spontaneously diffuse into a perovskite film, passivating uncoordinated Pb 2+ or I vacancy defects and inhibiting the formation of metallic Pb 0 . Eventually, the low-temperature printable C-PSCs and modules achieve the highest reported efficiency of 22.1 and 18.0%, respectively; exhibit excellent stability at 80–90% high humidity without encapsulation; and demonstrate long-term operational stability for 500 h under maximum power point tracking conditions, maintaining 94% of the initial efficiency.

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 score0.020
Threshold uncertainty score0.575

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 head0.002
GPT teacher head0.180
Teacher spread0.178 · 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

Citations17
Published2025
Admission routes1
Has abstractyes

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