Fast capture and stabilization of Li‐ions via physicochemical dual effects for an ultra‐stable self‐supporting Li metal anode
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 Lithium (Li) metal is regarded as one of the most promising anode candidates for next‐generation batteries due to its extremely high specific capacity and low redox potential. However, its application is still hindered by the uncontrolled growth of dendritic Li and huge volume fluctuation during cycles. To address these issues, flexible and self‐supporting three‐dimensional (3D) interlaced N‐doped carbon nanofibers (NCNFs) coated with uniformly distributed 2D ultrathin NiCo 2 S 4 nanosheets (denoted CNCS) were designed to eliminate the intrinsic hotspots for Li deposition. Physicochemical dual effects of CNCS arise from limited surface Li diffusivity with a higher Li affinity, leading to uniform Li nucleation and less random accumulation of Li, as confirmed by ab initio molecular dynamics simulations. Due to the unique structure, exchange current density is reduced significantly and metallic Li is further contained within the interspace between the NCNF and NiCo 2 S 4 nanosheets, preventing the formation of dendritic Li. The symmetric cell with a Li/CNCS composite anode shows a long‐running lifespan for almost 1200 h, with an exceptionally low and stable overpotential under 1 mA cm −2 /1 mAh cm −2 . A full cell coupled with a LiFePO 4 cathode at a low N/P ratio of 2.45 shows typical voltage profiles but more significantly enhanced performance than that of a LiFePO 4 cathode coupled with a bare Li anode.
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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) | 0.000 | 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 it