EVALUATION OF CaCl2-SILICA GEL SORBENT FOR WATER SORPTION COOLING SYSTEMS
Bibliographic record
Abstract
Hygroscopic salts supported by a mesoporous matrix for improved mass transport are promising sorbents for water-based sorption cycles that operate at low pressure. In this study, loose grain composites of CaCl2 supported by mesoporous silica gels with four distinct pore size distributions were prepared and compared with AQSOA FAM-Z02, a silicoaluminophosphate zeolite desiccant. A salt in silica gel sorbent consolidated with graphite flakes and binder was also analyzed. The sorbents were evaluated with a volumetric nitrogen physisorption porosimeter and thermogravimetric water vapor sorption analyzer. The hygroscopic salt filled 56−60% of the open pore volume of the mesoporous silica gel supports. Water uptake capacity of the CaCl2/silica gel sorbent was up to 0.33 g per gram of dry sorbent at 12 mbar and 35°C, and sample performance was consistent through 200 wetting−drying cycles.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".