Dynamic Confinement and High‐Entropy Catalytic Synergy Engineering in Hollow Nano‐Metal‐Organic Frameworks
Bibliographic record
Abstract
Abstract The systematic regulation of the pore size and chemical environment of nano‐metal‐organic skeletons (n‐MOFs) has been challenged, making it difficult to study their structure‐property relationships in depth. In this study, a universal dynamic template strategy is proposed and successfully achieves the controllable construction of various hollow n‐MOFs (including ZIF‐67, Co‐BTC, etc.). Based on this, the progressive optimization mechanism of pore size limitation (3.4–18 Å), functional group modification (─H, ─NH 2 , etc.), and multi‐metal (Co, Ni, etc.) synergism on the performance of lithium–sulfur (Li–S) batteries is systematically revealed, and the long‐cycle‐life sulfur host HE‐MOF‐74 is further screened. The experimental findings and in situ characterizations collectively demonstrate that hierarchical structural optimization synergistically mitigates active material deactivation and host structure degradation. This work not only provides an integrated “synthesis‐structure‐performance” material design paradigm for Li–S batteries, but also provides a theoretical basis for extending the multiscale optimization logic to other multistep reactive systems.
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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 | 0.000 | 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) | 0.002 | 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".