Growth of Metal Organic Frameworks on the Surface of Individual Cellulose Nanocrystals
Bibliographic record
Abstract
Composites of cellulose nanocrystals (CNCs) and metal organic frameworks (MOFs) are appealing for constructing new materials with applications in catalysts, photonics, gas separation, and environmental remediation. In this paper, the growth of various MOFs on individual CNCs was investigated by varying the growth conditions to obtain a hybrid material, MOF@CNCs. While ZIF-8 and UiO-66 uniformly grew on the surface of CNCs, other common MOFs (e.g., MIL-96, MOF-808, HKUST-1, and MOF-5) exhibited irregular growth patterns. The morphology of the MOF@CNCs materials obtained depended on the metals and ligand used. Furthermore, we investigated the growth of Prussian blue (PB) on CNCs, but we were unable to realize well-defined composites with the framework attached to the surface of CNCs. These investigations are important to realize CNC@MOF composite materials where individual CNCs are functionalized with MOFs.
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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) | 0.000 | 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 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".