Hydrothermal Synthesis and Electrochemical Properties of Li<sub>2</sub>CoSiO<sub>4</sub>/C Nanospheres
Bibliographic record
Abstract
A highly ordered mesoporous carbon/silica (MCS) framework was used as both a silicate precursor and carbon source to prepare Li 2 CoSiO 4 /carbon nanocomposites via hydrothermal synthesis. TEM-EDX and TGA measurements showed that ∼2 wt % carbon was incorporated within Li 2 CoSiO 4 crystal aggregates on the nanoscale. We find that both the morphology and particle size of the Li 2 CoSiO 4 /C composites are significantly influenced by the LiOH concentration in the precursors. By controlling the molar ratio of LiOH:Si:Co = 8:1:1, very uniform Li 2 CoSiO 4 /C spheres were obtained with an average diameter of 300–400 nm. Many exhibit hollow or core–shell structures. A mechanism is proposed to account for both the unusual morphology and carbon incorporation. Despite some electrolyte oxidation at high potential, the electrochemical properties of the Li 2 CoSiO 4 /C composites showed that the nanocarbon played an important role in enhancing the electrochemical performance, when compared with Li 2 CoSiO 4 prepared using fumed silica as the silicate source under similar conditions.
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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) | 0.001 | 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".