Two-Step Graphene Strategy Enabling Long-Cycle Stability of Silicon Anodes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A two-step graphene-reinforced hierarchical structure to address the poor cycle stability due to significant volume fluctuations in silicon anodes for lithium-ion batteries (LIBs) is introduced in this study. Fine composite granules (1–2 μm), SiNPs@rGO where silicon nanoparticles (SiNPs) were fully encapsulated by reduced graphene oxide (rGO) flakes, were synthesized by a high-power planetary ball milling technique. The compact structure of the SiNPs@rGO granules effectively suppressed the dispersion loss of Si and Li x Si fragments from the granules. To accommodate the large volume fluctuation of Si in lithiation and delithiation cycles, a hierarchical structure using mechanically flexible and stretchable holey reduced graphene oxide (HrGO) 2D layers was developed. The hierarchical structure of HrGO/SiNPs@rGO composite anode successfully accommodated the volume fluctuations of SiNPs@rGO, thereby markedly enhancing long-cycle stability. Systematic analyses of the characteristic electrochemical properties and morphological evolution of these 2D material-based anodes are reported.
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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 it