In Situ Synthesis of Graphene‐Coated Silicon Monoxide Anodes from Coal‐Derived Humic Acid for High‐Performance Lithium‐Ion Batteries
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
Abstract Silicon monoxide (SiO) is attaining extensive interest amongst silicon‐based materials due to its high capacity and long cycle life; however, its low intrinsic electrical conductivity and poor coulombic efficiency strictly limit its commercial applications. Here low‐cost coal‐derived humic acid is used as a feedstock to synthesize in situ graphene‐coated disproportionated SiO (D‐SiO@G) anode with a facile method. HR‐TEM and XRD confirm the well‐coated graphene layers on a SiO surface. Scanning transmission X‐ray microscopy and X‐ray absorption near‐edge structure spectra analysis indicate that the graphene coating effectively hinders the side‐reactions between the electrolyte and SiO particles. As a result, the D‐SiO@G anode presents an initial discharge capacity of 1937.6 mAh g −1 at 0.1 A g −1 and an initial coulombic efficiency of 78.2%. High reversible capacity (1023 mAh g −1 at 2.0 A g −1 ), excellent cycling performance (72.4% capacity retention after 500 cycles at 2.0 A g −1 ), and rate capability (774 mAh g −1 at 5 A g −1 ) results are substantial. Full coin cells assembled with LiFePO 4 electrodes and D‐SiO@G electrodes display impressive rate performance. These results indicate promising potential for practical use in high‐performance lithium‐ion batteries.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it