Steady‐State, Scalable Production of Mesoporous Rutile and Brookite Particles and Their Use in Energy Conversion and Storage Cells
Bibliographic record
Abstract
Abstract Mesoporous TiO2 rutile particles with a cauliflower‐like morphology and an internal structure of self‐assembled nanoneedles were synthesized in a novel TiIV chloride aqueous‐solution hydrolysis process. In an effort to make nanostructured rutile synthesis cost‐effective and green, the process was conducted at steady‐state in a continuously stirred tank reactor (CSTR) below 100 °C. High TiCl4 concentration 0.5–1 m yielded rutile, while lowering the concentration to 0.1 m led to the crystallization of brookite nanoplatelets. Apart from phase control, specific surface area of rutile may be tuned via TiCl4 concentration regulation from 85 to 500 m2 g−1. Investigation revealed that low pH/high TiIV concentration conditions favored direct nucleation of rutile nuclei during steady state that grow radially outward into nanoneedle structured cauliflower particles with nanoscale edgy surface. The unique steady‐state produced mesoporous rutile particles were shown to have excellent light scattering properties in a bi‐layer photoanode structure resulting in 42.5 % increase in photovoltaic efficiency. Brookite nanoplatelets were shown, in addition to their scattering properties, to exhibit stable Li‐ion intercalation functionality.
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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) | 0.001 | 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".