Broadband photon absorption in self-assembled networks of multiphase oxides of titanium
Bibliographic record
Abstract
Titanium -dioxide (TiO2) has garnered immense interest as a potential photon absorber after the discovery of its photocatalytic properties. However, its absorption is limited to the ultraviolet region of the solar spectrum. Despite numerous efforts being made, the challenge to extend its absorption capability to the entire visible and near infrared region (vis-NIR) still exists, which together constitute about 90 % of the solar spectrum. In this dissertation, a multiphase nano TiOx network, rich in defects and oxygen vacancies, has been presented which can absorb photons over a broader range of the solar spectrum. Experimental studies were initially conducted to phase functionalise titanium towards enhanced photon absorption via a single step, ultrashort laser pulse material interaction process. This phase functionalised titanium, characterised to be uniquely composed of multiple oxide phases of titanium, can effectively absorb photons in the vis-NIR region. Using the above study as a template, a complex three-dimensional self-assembled nano network composed of similar multiphase titanium oxides, was then synthesised. Free of any external dopants, it exhibits a remarkable absorption of photons ranging from 300-1000 nm. To further improve the absorptive properties of this ‘multiphase nano TiOx network’, particularly in the lower visible range, the phenomenon of Surface Plasmon Resonance was utilised via its hybridisation with gold and gold/palladium alloy. This successfully resulted in further optimisation of its absorption. The final study of the multiphase nano TiOx was done to understand the fundamental physics behind its broadened photon absorptive behaviour. The condition of synthesis was varied by introducing various contrasting plasma environments. Pronounced disorders and oxygen defects of varying degrees within the crystalline structure were observed. The enhanced and broadened absorption spectrum achieved was attributed to such defects and disorders. The research done in this thesis demonstrates a unique nanomaterial based on multiple oxides phases of titanium that is capable of absorbing photons both in the visible and NIR regions. The contribution made towards the synthesis, investigation and subsequent manipulation of the self-assembled multiphase nano TiOx network can thus be exploited in various photon harvesting applications like photovoltaics and photo catalysis, where such a broadband photon absorption is desirable.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 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".