Designing Multifunctional Co and Fe Co-Doped MoS<sub>2</sub> Nanocube Electrodes for Dye-Sensitized Solar Cells, Perovskite Solar Cells, and a Supercapacitor
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide In the present study, three types of specific solid, core–shell, and hollow structured cobalt and iron co-doped MoS 2 nanocubes (denoted as s-Co-Fe-MoS x, c-Co-Fe-MoS x, and h-Co-Fe-MoS x ) are controllably synthesized for the first time by regulating the reactant mass ratios. The prepared Co-Fe-MoS x nanocubes can function as a counter electrode in dye-sensitized and perovskite solar cells (DSCs and PSCs) and a working electrode in a supercapacitor. In the DSC system, the c-Co-Fe-MoS x nanocubes exhibit the maximum catalytic activity to the Co 3+/2+ redox couple regeneration, and the device achieves a power conversion efficiency (PCE) of 8.69%, significantly higher than the devices using s-Co-Fe-MoS x (6.61%) and h-Co-Fe-MoS x (7.63%) counter electrodes. Similarly, all of the prepared Co-Fe-MoS x nanocubes show decent activity in PSCs and the device using the c-Co-Fe-MoS x counter electrode achieves the highest PCE of 6.88%. It is worth noting that, as the supercapacitor working electrode, the h-Co-Fe-MoS x exhibits a specific capacitance of 85.4 F g –1, significantly higher than the parallel values achieved by the s-Co-Fe-MoS x and c-Co-Fe-MoS x electrodes under identical 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) | 0.000 | 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 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".