A Numerical study on the Effect of Different Hole Transport Layers on CsSn <sub>0.5</sub> Ge <sub>0.5</sub> I <sub>3</sub> based Perovskite Solar Cells
Bibliographic record
Abstract
Perovskite materials are attractive to researchers because of their superior optoelectronic properties. Non-toxic Lead-free perovskites are promising candidates as an alternative to lead perovskites. In this work, our modeled ZnO/CsSn0.5Ge0.5I3/HTL (CFTS, CZTSe, P3HT)/Au is used to investigate the pv parameters of solar cell using SCAPS-1D. The impact of different hole transport layers on perovskite solar cell performance has been particularly examined. CsSn0.5Ge0.5I3is used as an absorber layer where Ge2+is doped with CsSnI3that will improve the stability of the device. Different device parameters including absorber layer thickness, absorber layer doping concentration, and back contact metal work function are optimized in this study. After optimizing device parameters, among several HTL materials, CZTSe showed better performance based on pv parameters where PCE is 26.88%, short circuit current density is 29.24mA/cm2, open circuit voltage is 1.0574 volt and fill factor is 86.95%.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".