Orchestrating a Controllable Engineering of Dual‐Model Carbon Structure in Si/C Anodes
Bibliographic record
Abstract
Abstract Silicon‐carbon composites (Si/C) with multistage structures enable structural integrity during cycling. However, the lack of controllable structure preparation on a large scale hinders the stability improvement in practical applications. Herein, a new strategy is proposed to synthesize kilogram‐scale Si/C (PySi/C) featuring a dual‐model carbon structure in one step. The controllable combination of an onion‐like carbon coating on the Si surface with independent pyrolytic carbon is accomplished through the precise adjustment of the pyrolysis temperature. The dual‐model carbon formation mechanism is unraveled, detailing the cooperative coupling of the nucleation laws of carbon compositions as well as the changes trends in morphology and crystallinity. This density functional theory and finite element analysis highlight the dual‐model structure's essential contribution to the electrochemical behavior and structural stability. As expected, PySi/Cs anodes deliver stable cycling performance with retention of 91.5% after 800 cycles at 2 A g −1 . Its comprehensive electrochemical performance surpasses that of the state‐of‐the‐art kilogram‐scale Si‐based anode reported. Moreover, the assembled pouch cell exhibits actual competitiveness, showing a capacity of 1.97 Ah and a retention of 88.9% after 300 cycles at 1 C. This work provides valuable design concepts to further advance the development of Si/C anodes.
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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) | 0.000 | 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 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".