Strategically Designed Zeolitic Imidazolate Frameworks for Controlling the Degree of Graphitization
Bibliographic record
Abstract
Abstract The zeolitic imidazolate frameworks (ZIFs) ZIF-8 and ZIF-67 are well-known as belonging to the series of metal-organic frameworks. Using different types of metal ions in them, such as Zn2+ and Co2+ simultaneously, brings both advantages and disadvantages with respect to the carbonization process. For tailoring their properties, we suggest that the best approach involves control of the bimetallic ZIF-derived carbon nanoarchitecture, which is hybridized through the synergistic effects of each metal ion. In this study, the bimetallic ZIFs were designed by controlling the molar ratio of zinc (Zn2+) and cobalt (Co2+) ions, and the carbon nanoarchitecture was subsequently formed by a facile heat treatment and acid leaching. We demonstrate this approach to achieve tailored ZIF derived carbon nanoarchitectures with different pore sizes, surface areas, and degree of graphitization. These pave the way to finding the optimal carbon nanoarchitecture for specific applications such as Li-O2 air cell.
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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".