A review on recent progresses of nano/micro encapsulated phase changematerial slurries
Bibliographic record
Abstract
Abstract: Heat transfer fluids play a significant role in cooling or heating systems to maintain or obtain a particular temperature. A relatively novel concept is adding nano/microencapsulated phase change material (N/MPCM) to the carrier fluid to increase the heat capacity and improve the heat transfer rate. However, the applicability of using particles and their performance demand further investigations. In this study, a review of the recent progress has been made on using N/MPCM slurry as the working fluid is provided. The effects of particles’ thermophysical properties, including size, concentration, melting point and enthalpy, on different performance indicators such as exergy, efficiency, pumping power and performance evaluation criterion are among the covered topics. Although the promising potentials of MPCM slurry have increased interest in this field, there are still significant research gaps in the literature that are suggested for future investigations.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".