Highly-concentrated synthesis of gold nanorods (AuNRs) and their applications in liquid crystals
Bibliographic record
Abstract
This thesis concerns the synthesis of gold nanorods (AuNRs) and AuNRs-liquid crystal (LC) nanocomposites.In the first project, highly-concentrated AuNRs are synthesized via a novel 3-step seed-mediated method, surmounting previous size limitations via the addition of acetone.This study was motivated by the massive demand for uniform and high-quality AuNRs for applications.The second project investigates the function of AuNRs in blue phase liquid crystals (BPLCs) in order to increase the temperature range of the blue phase and to investigate the interactions between thiolated polyethylene glycol (mPEG-SH) ligands and hydrogen-bonded BPLCs.AuNRs have been typically synthesized using the seeded silver-mediated method.However, the low yield, the high sensitivity to synthesis conditions, and the complex work-ups of existing syntheses limit the applications of AuNRs.The three-step method we developed increases the mass of AuNRs to 10 times higher than the regular small-scale synthesis.Plasmon properties and nanoparticle morphologies were characterized using UV-vis spectroscopy and transmission electron microscopy (TEM), respectively.The results showed support for the formation of highly-concentrated AuNRs that are consistently rod-shaped.The factors influencing this method have been investigated.Manipulating the quantities of AgNO3 in experiments indicated a limited effect on the aspect ratio of AuNRs, differing from the function of silver in regular small-scale synthesis.Conversely, manipulating the solvent composition during experiments demonstrated that the addition of acetone produced AuNRs with higher aspect ratios than typical syntheses in water.Furthermore, the effect of doping blue phase liquid crystals (BPLCs) with functionalized AuNRs was investigated.The narrow temperature range and low stability of blue phase liquid crystals (BPLCs) are because of line defects, also known as disclination lines, in the blue phase structure.They can be stabilized by filling disclination lines with various polymers and nanoparticles.An ideal stabilizer for BPLCs should first match the size accommodation in their disclination lines and have the advantages of field-respond properties.Gold nanorods whose width is less than 10nm have the advantage of matched size, surface
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".