High Performance Nanoplasmonic UV/VIS/NIR Photodetector Fabricated in Ambient Condition
Bibliographic record
Abstract
Abstract Surface plasmon based techniques are widely used to promote the exciton generation and light absorption in solar cells and photodetectors. In this work, a feasible approach for UV-VIS-NIR photodetection using plasmon induced silicon nanowires (SiNWs) and amorphous TiO 2 heterostructure is presented. The photodetector shows excellent photoresponse up to 3.5 orders of magnitude enhancement with a rise/decay time constants of 0.75/0.5 µs. Under small bias (1V), the photodetector exhibits very high responsivity up to 49 A/W at 532 nm irradiation over a broadband wavelength range from 300–1100 nm. These figures of merits represent the excellent performance over the reported heterojunction based photodetectors. Our finding offers new opportunities to engineer plasmon-based nanostructures in different fields like chemical sensors, optoelectronics and nanophotonics applications.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".