Evaluation of the Main Diffusion Path in Novel Micro-Mesoporous Zeolitic Materials with the Zero Length Column Method
Bibliographic record
Abstract
The past several years have seen a dramatic increase in research interest regarding ordered and disordered mesoporous molecular sieves. UL-ZSM5s belong to the class of disordered mesoporous materials where zeolites are intergrown in mesoporous structures. They are considered to have a great potential for adsorption separation and catalysis. The primary objective of this study is to investigate the main diffusion path of these novel materials, using the zero length column (ZLC) technique with an appropriate theoretical analysis. Two UL-ZSM5 samples and their precursors were investigated, employing o -xylene as a probe molecule. In addition, ZSM-5 and ZSM-12 crystals with n -heptane/toluene as probe molecules were used as reference systems. The results revealed that the structure of UL-ZSM5 and its precursor behaved approximately as a three-dimensional (isotropic) diffusion system, while ZSM-5 and ZSM-12 crystals behaved as three- (isotropic) and one-dimensional (anisotrpic) diffusion systems, respectively. The results also showed that the diffusion path will not change with the variation of temperature or nature of sorbate molecules. From a practical point of view, this simple and relatively inexpensive method can be conveniently used as an additional tool for the characterization of porous materials.
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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".