Formation of NiO Thin-Film via Picosecond Laser Pulses for Energy Storage Electrode Fabrication
Bibliographic record
Abstract
Consumer demand in portable and mobile electronics has noticed exponential rise leading to increases demand for energy storage devices. Once such device is supercapacitor which relies on interfacial, surface charge storage. With increased surface area, better capacitance is observed with assistance of nanoengineering. In this paper, a thin oxide layer is generated on Ni sheet surface with ultra-short pulses for laser ablation of Ni. The effects of power were analysed by keeping other parameters such as pulse duration, frequency, and irradiation scan speed constant. The 3D nanostructures of metal oxide exhibited pseudocapacitive behaviour. The nanostructured oxide layer assisted in better ion diffusion and ion adsorption and desorption as observed by the electrochemical tests performed. The paper promotes synthesis of nanoparticles (NPs) with green approach such as laser ablation as part of future manufacturing methods for electrode fabrication
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".