Impacts of Indirect Wider Bandgap of Non-Toxic AlxGa1-xAs Buffer in Copper-Indium-Gallium-Diselenide Photovoltaic Cell
Bibliographic record
Abstract
A numerical simulation and substantiation have been accomplished to analyze the impact of Al0.9Ga0.1As alloy composite buffer layer band gap and thickness, absorber layer thickness on a ZnO:Al/i-ZnO/Al0.9Ga0.1As/CIGS/Mo/SLG structured non-toxic Cd-free CIGS photovoltaic cell. In this study, the cell output attributes including efficiency (η) and collection efficiency (ηc) have been optimized through short circuit current density (Jsc), open-circuit voltage (Voc) and fill factor (FF) optimization. Our study has been concluded with the maximum efficiency of 24.32% with Voc = 839.76 mV, Jsc = 36.21mA/cm2 and FF=76.96%, ηc = 83.16%. This enhanced efficiency is optimized by determining the bandgap of the buffer through altering the Al concentration to transit it from direct bandgap material to an indirect one. The thickness of the absorber on system performance is also investigated, and its extent is found in between 2 µm to 3 µm.
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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".