Cellulose Nanocrystals–Tin‐Oxide Hybrid Electron Transport Layers for Solar Energy Conversion
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Petro‐derived organic cathode interlayers (CILs) can modify the tin‐oxide (SnO 2 ) electron transport layer (ETL) in organic photovoltaics (OPVs) to address the energy‐level alignment, charge extraction, and device shelf‐life instability challenges. However, the potential eco‐hazardousness of petro sources used to synthesize such CILs and the toxicity of processing solvents warrant the discovery of sustainable and commercially viable substitutes. Herein, a low‐cost, biocompatible, and water‐processable CIL based on amine‐functionalized cellulose nanocrystals (CNC‐a) is introduced to enhance the performance of OPVs by mitigating surface defects of the SnO 2 ETL. X‐ray photoelectron spectroscopy (XPS) reveals a reduction in water traps after SnO 2 modification with CNC‐a. The electrical characterization shows that CNC‐a modification improves the conductivity of the SnO 2 . CNC‐a inhibits charge recombination and improves the charge collection ability leading to power conversion efficiencies (PCEs) of >13% in halogen‐free solvent and air‐processed PBDB‐T‐SF (PM6):BTP‐4F‐12 (Y6‐C12)‐based OPVs. The SnO 2 /CNC‐a bilayer ETL‐based devices exhibit relatively high shelf‐life device stability. Fully slot‐die‐coated (where SnO 2 , CNC‐a, and bulk heterojunction [PM6:Y6‐C12] are coated) large area bottom cathode cells (PCE > 10%) are demonstrated, showcasing the utility for scale‐up. This work opens a viable and sustainable pathway to develop bio‐derived materials for scalable OPVs.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it