Synthesis of Functional Nanoparticles Using Supercritical Fluids
Bibliographic record
Abstract
In this review, we discuss the synthesis of functional nanoparticles using supercritical fluids, focusing on their unique characters. Enhanced transport properties, larger solubility, and easy operation in changing the phase behavior realize the instantaneous formation of solid products, leading to the synthesis of fine nanoparticles with narrow size distribution. Several methods are shown to prepare organic and inorganic nanoparticles using supercritical carbon dioxide or water. We then introduce our recent activities on the supercritical hydrothermal synthesis of metal oxide nanoparticles whose surface is modified with organic molecules. The organic molecules change the surface chemical character of the metal oxide nanoparticles, facilitating their handling and hybridization. We hope that this review provides a guide to the synthesis of various nanoparticles that are used as a key component for functional materials and future nanodevices.
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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) | 0.000 | 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) | 0.000 | 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".