Optimization and Characterization of MgO/Porous Silicon Heterojunction Photodetector
Bibliographic record
Abstract
This work develops the performance of porous silicon photodetector.Magnesium oxide (MgO) nanostructure was deposited on porous silicon substrates by chemical spray method at concentration 0.1M.We have investigated the influence of etching time on the structural, morphological optical and electrical properties.XRD study exhibited that the fresh porous silicon and MgO/PSi samples were polycrystalline in nature of cubic structure (fcc).Porous silicon has inhomogeneous arrangement of the pores with some voids separated between walls on the surface.The nucleation growth of MgO thin film increased and completely covering within the pores.the Raman peaks of the MgO/PSi were shifted to the red position with increasing etching time.I-V characteristics of the MgO/PSi exhibit Schottky diode behavior of all samples.Apart of this, the photodetectors values of all samples raise slighty with etching time.Additionally, The optimum value of quantum efficiency for MgO/PSi were found to be 59% and 32% at wavelength 300-400nm and drops values to 8% and 6%, at the near infrared range respectively.The efficiency of MgO/PSi improved with increasing etching time.The performance of the prepared films depends on fabrication conditions.
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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".