Molecular Dynamics Simulation as a Tool for Studying the Solvent in the Dye/TiO2 Interaction in Natural Dye Sensitized Solar Cells
Bibliographic record
Abstract
The present work focuses on studying the interaction between a natural dye, cyanidin-3-glucoside, and the TiO2 surface in sensitized solar cells. Molecular dynamics simulations based on the reactive force field ReaxFF were employed to investigate these interactions. Various solvent environments based on water and ethanol proportions were examined. The simulation results reveal that dye chemisorption always occurs, but with differences depending on the solvent used. A more favorable stability and Ti-O bond distance were observed in systems with solvent ratios of 1:1 and 1:3, suggesting improved dye loading under these conditions. Additionally, sensitized solar cells were prepared using the same solvents utilized in the simulation, and current-voltage and IPCE measurements were performed. It was found that cells prepared with the more stable solvent ratios exhibit higher photocurrent and efficiency. Overall, the results from the molecular simulation are in agreement with the experimental data, indicating its potential for predicting the optimal solvents to use in the preparation of natural dyes based on anthocyanins.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".