Large‐scale synthesis of nano‐ <scp>ZIF</scp> ‐90 from zinc chloride application orientation heat storage materials
Bibliographic record
Abstract
Abstract The paper presents the results of the first research on the synthesis of nano‐ZIF‐90 from zinc chloride. More specifically, the paper also introduces the results of large‐scale pure nano‐ZIF‐90 synthesis with a high specific surface, uniform cubic crystals, and good thermal strength. ZIF‐90 is synthesized from zinc chloride‐containing medium capillaries, which have both a weak acid center and a strong base center. The post‐synthetic ZIF‐90 was also evaluated for heat storage based on its ability to adsorb water, methanol, and ethanol. XRD, FTIR, SEM, TEM, N 2 adsorption and desorption methods, TG mass thermal analysis, and NH 3 ‐TPD/CO 2 ‐TPD were used to study the ZIF‐90 crystallization process with modifications of precursors, solvents, additives, and reaction conditions. From this, a large‐scale synthesis of nano‐ZIF‐90 from high‐efficiency zinc chloride has been derived. DSC measurements are used to evaluate the enthalpy adsorption of water, methanol, and ethanol on ZIF‐90.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".