Insight into the Interface Design for Li Metal Anode: Organic‐Rich or Inorganic‐Rich
Bibliographic record
Abstract
Abstract Microcracks and surface heterogeneity in solid‐electrolyte interphase (SEI) induced by repeated plating/stripping of lithium (Li) metal exacerbate SEI fracture propagation and dendrite growth, which lead to unsatisfactory Coulombic efficiency and limited cycle life of Li metal anode. In this study, the hybrid artificial interfaces with controlled organic–inorganic ratios are designed and deep insight into their impacts on the electro‐chemo‐mechanical properties is obtained. The organic–inorganic ratios in the hybrid interfaces influence the mechanical properties, lithiophilicity, and diffusion kinetics of the interfaces, which in turn affect the nucleation, early growth, and repeated deposition/dissolution behavior of Li. It is found that increasing the inorganic ratio in the hybrid interface can realize significantly enhanced electrochemical performances. This work answers a key question for hybrid interfaces: should organic‐rich or inorganic‐rich be preferred in the hybrid interface? It is believed that this work will guide the future design of hybrid interfaces for Li metal anode and open up opportunities for the realization of next‐generation Li metal batteries.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".