Composite nanocapsules of phase change materials using a supercritical carbon dioxide (<scp>SC</scp>‐<scp>CO<sub>2</sub></scp>) assisted process
Bibliographic record
Abstract
Abstract This work reports the production of polymeric nanocapsules of polymethyl methacrylate (PMMA)/phase change materials (PCM), using continuous supercritical emulsion extraction (SEE‐C). Five fatty acids (FAs) were tested: capric (CA), lauric (LA), myristic (MA), palmitic (PA), and stearic (SA) acid, using supercritical carbon dioxide (SC‐CO 2 ) operating at 80 bar and 38°C in a tower apparatus. The two fatty acids with lower molecular weight (CA and LA) were extracted by the supercritical solvent and capsules were not obtained. The other three FAs formed spherical, non‐coalescing nanocapsules characterized by mean diameters ranging between 134 and 252 nm, as shown by scanning electron microscope (SEM) images and dynamic light scattering (DLS) analysis, with a sharp particles size distribution and encapsulation efficiencies up to 99.8%. Differential scanning calorimetric analysis (DSC), thermogravimetric analysis (TGA) and derivative thermogravimetric analysis (DTG) analyses confirmed the successful encapsulation, allowing the measurement of the energy storage properties of produced capsules. Stability analysis performed over 5 months showed that the nanocapsules were stable in this time interval. Thermal cycles experiments confirmed the thermal stability of the capsules. The best performance was obtained for PA based nanocapsules, which showed a stability reduction of only 0.43% after 25 thermal cycles.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".