Super-Assembled Hierarchical and Stable N-Doped Carbon Nanotube Nanoarrays for Dendrite-Free Lithium Metal Batteries
Bibliographic record
Abstract
Lithium (Li) has been widely studied as a promising anode material for secondary batteries because of its excellent performance. However, the severe issue of dendrites must be solved for manufacturing safe and sustainable batteries. The proper selection and design of three-dimensional (3D) current collectors are of great significance for regulating the formation of Li dendrites. Here, 3D stable lithium metal anodes were prepared by growing N-doped carbon nanotubes on the surface of carbon cloth (CC). Experimental results reveal that the presence of carbon nanotubes increases the specific surface area of carbon cloth, and the local current density is effectively reduced. Nitrogen doping significantly enhances the lithiophilicity of CC, which is conducive to reversible Li plating and stripping. The formation of dendrite can be greatly inhibited on the 3D Li composite electrodes, thus leading to steady voltage curves at current densities of 10 mA cm–2 and 3 mAh cm–2 for 300 h. Furthermore, a full cell assembled with this electrode and a commercial high-load (120 g m–2) LiFePO4 exhibits excellent cycle stability with a capacity retention rate of 83.4% after 650 cycles at 1 C and excellent rate performance. These results prove the potential for the commercialization of Li metal anodes.
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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".