Influence of porous silicon passivation layer and TiO<sub>2</sub> coating on the optoelectronic properties of multicrystalline Si substrate
Bibliographic record
Abstract
Abstract In this work a novel passivation technique is proposed for multicrystalline silicon wafers for the purpose of solar cell application. The new method combines the use of double treatment based on porous Si and TiO 2 passivation. Porous silicon (PS) was prepared by electrochemical anodization of multi crystalline substrates (mc‐Si) under different conditions of current density (The current density used is between 3 and 50 mA/cm 2 ). It was demonstrated that the porosity increases with increasing current density from 27, 66% to 81%. TiO 2 nanoparticles with different nanometric sizes were incorporated inside pores by the way of the pulsed laser deposition (PLD) technique. The deposited layers have been characterized by spectrophotometry, Fourier transform infrared spectroscopy (FTIR) analysis. It was found that the binary structure of TiO 2 /PS minimizes the average reflectivity of the mc‐Si substrates from 36% for bare multi crystalline silicon to around 14% for treated substrate. The TiO 2 /porous Si treated samples present high photoluminescence intensity and an enhancement of the optoelectronic properties. As a result the effective minority carrier lifetime shows a strong improvement after the combined treatment (© 2012 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".