Aqueous Solution Synthesis of Crystalline Anatase Nanocolloids for the Fabrication of DSC Photoanodes
Bibliographic record
Abstract
The production of anatase nanocolloids via a novel aqueous solution synthesis method is described. The process involves forced hydrolysis of 0.2 M Ti Cl 4 aqueous solution at low temperature ( 80 ° C ) leading to fast nucleation of Ti O 2 anatase nanoparticles ( 4 – 5 nm ) . The isolated nanopowders were found to consist predominantly of anatase as the major phase ( ∼ 85 wt % ) , possess a very high surface area (up to 250 – 350 m 2 ∕ g ), and a relatively elevated surface hydroxyl content in comparison with the P25 reference material. Single-layer ( ∼ 12 μ m thick) photoanodes prepared with aqueous-synthesized powders were found to have a specific surface area of ∼ 130 m 2 ∕ g and the anatase nanocrystallites to have grown to ∼ 12 nm and assume a higher degree of crystallinity but still carry ∼ 1.5 % surface OH groups. The pore size of the film was determined to be ∼ 8 nm . By comparison, the film prepared with P25 nanoparticles had the following properties: 50 m 2 ∕ g , 30 nm crystallite size, 0.2% surface OH, and 25 nm pore size. Dye-sensitized solar cell (DSC) devices assembled with the newly fabricated photoanodes showed equivalent photo-electrochemical performance [power conversion efficiency η, short-circuit current voltage I sc , open-circuit voltage V oc , and Fill Factor (FF)] to cells prepared using the benchmark P25 titania powder.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".