Dopamine-Derived Graphite-Like Hard Carbon Materials for High-Performance Li+ Ions Storage
Bibliographic record
Abstract
Graphite anode material is easily powdered under large currents, resulting in a short circuit inside the battery, causing serious safety hazards. Therefore, it is necessary to study a negative electrode material, increase the diffusion channel of lithium ions, increase the layer spacing, reduce the transmission distance, effectively weaken the lithium-ion deposition, and improve the cycle life. A novel organic hard carbon material was prepared by calcining dopamine hydrochloride (DA) at three temperatures. Under the inert atmosphere of 950 °C, the material is fully carbonized, the lattice spacing is 0.367 nm, and it has good lithium-ion transmission activity. After assembling into a battery, after 2000 charge-discharge tests at a high rate of 10C, the charging specific capacity is still 103.3mAh g-1, and the CE remains 101.4%. Dopamine hard carbon anode materials exhibit excellent specific capacity and cycle properties, providing new ideas to support the rapid charging and discharging of hard carbon anode materials.
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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 | 0.014 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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 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".