Bathocuproine Buffer Layer Effect on the Performance of Inverted Perovskite Solar Cells
Bibliographic record
Abstract
To boosting the performance of inverted p-i-n-type planar hetero-junction architecture photovoltaic cells based on CH3NH3PbI3 perovskite materials, a thin buffer layer Bathocuproine (BCP) is introduced between the Electron Transporting Layer (ETL) PCBM and the metal contact. The trends in parameters Perovskite Solar Cells (PSCs) inserting BCP is studied using solar cell capacitance simulator (SCAPS-1D). The obtained results of optimizing the thickness of the Bathocuproine (BCP) buffer layer exhibited optimum value at 5 nm, with power conversion efficiency (PCE) of 17.30 %, VOC of 1.39 V, and FF of 62.89 %. The carrier concentration was higher than 1017 cm-3 increases sharply the conversion efficiency by about 0.35-2.3 %. Further, the lower metal work function (Фm<4.3 eV) enhances the electrical parameters where the efficiency up to 21.3 %. Keywords: Solar cell, Perovskite, CH3NH3PbI3, BCP, SCAPS, Metal Work Function.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".