Motion and Stillness Integration Over BP Nanocrystalline Complexion for Fasting Charging and Ultrastable Potassium Storage
Bibliographic record
Abstract
Abstract Black phosphorus (BP) has attracted propagated attention in favorable K+ storage featured with its large interlamellar spacing and the commendable fast‐charging performance. Nevertheless, the deficient interface stability and the andante sluggish kinetics, especially referring to the high C‐rates, seriously constrain the augmented practical application. Herein, Lewis acid‐base‐driven in‐situ transformation via motion and stillness integration strategy (LMMS) targeted for a BP complex with a crown‐ring (CR) structure, in‐situ transforming into the linear side‐chain (LS) structured polymer, is proposed. BP nanocrystalline enclosed by hollow S, N co‐doped carbon nanoreactor incubated by Co/Ni single atoms, is nested by poly(N‐isopropylacrylamide) grafted polypyrrole macrocyclic polymer (PPM), i.e., CoNi‐SNC@BP@PPM. Based on the breaking of C─S bond, the more symmetric stillness of PPM grafted BP complex is transformed into the more asymmetric motional PPO crosslinked BP composite. Such composite merges the advantages both PPM in excellent interface stability and PPO (Chain polymers and polypyrrole‐grafted poly(N‐isopropylacrylamide) crosslinked networks) in expedited kinetics, achieves a discharge capacity of 303.9 mAh g−1 after 500 cycles with a capacity retention rate of 81.8%. The works highlights the strategy of motion and stillness integration for metastable supramolecular grafted BP toward for equilibrated ultrafast‐charging and ultrastable K+ storage even at extreme conditions.
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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".