Advances in the Synthesis of Large-area 3D Ordered Macroporous Titania Film Photonic Crystals by Silica Colloidal Crystal Templating
Bibliographic record
Abstract
The recent advances of the authors' study on the synthesis of large-area 3D ordered macroporous titania film photonic crystals by using silica colloidal crystals as templates were presented. The main procedure of the preparation was described as follows. Firstly, the silica colloidal crystal template was deposited onto a glass micro slide through a convective assembly process in which monodispersive silica spheres of 309nm were used. Secondly, after sintered at 600℃ for 1h the crystalline template was immersed vertically into a TiO2 sol for the infiltration of the template. Thirdly, the resulting titania-opal composite film was immersed in an aqueous NaOH solution for 24h to remove the silica template. By means of the systematical study of the processes and application of some innovative processing techniques such as silica colloidal crystal templating technique, alkali based template-etching technique, the highly ordered macroporous TiO2 film photonic crystals with sizes of centimeters were successfully fabricated. The results show that the shrinkage of the macroporous framework with a filling rate of 17.4% is less than 3%. The XRD pattern shows that the porous framework consists of nanocrystallites of anatase mixed with a magneli phase (Ti5O9). The optical property measurements of the films indicate that the film photonic crystal has strong photonic bandgap behavior.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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".