Nanocomposite of TiO<sub>2</sub> Nanoparticles-Reduced Graphene Oxide with High-Rate Performance for Li-Ion Battery
Bibliographic record
Abstract
A simple and effective method is developed to synthesize the nanocomposites of anatase TiO 2 nanoparticles deposited on the reduced graphene oxide (TiO 2 -RGO) sheets as anode materials for Li-ion battery applications. Structure analyses demonstrated that anatase TiO 2 nanoparticles were well dispersed onto the reduced graphene oxide nanosheets with chemical bonds. These TiO 2 -RGO nanocomposites were electrochemically investigated in the coin-type cells versus metallic lithium, and the lithium storage performance of these nanocomposites showed the enhanced high-rate capabilities and good cycling stability. These improved electrochemical performance can be attributed mainly to efficient dispersion of TiO 2 nanocrystals on the surface of conductive RGO sheets, which makes these TiO 2 -RGO nanocomposites practical for high-rate Li-ion battery applications.
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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".