Adjusting Interface Dynamics: A New Insight into the Role of Electrolyte Additive in Facilitating Highly Reversible (002)‐Textured Zinc Anode at High Current and Areal Densities
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Facilitating (002)‐textured zinc growth is crucial for achieving dendrite‐free zinc deposition in zinc‐ion batteries. Electrolyte engineering holds promise in directing zinc electrodeposition toward this desired orientation. However, despite the (002) plane's lower surface energy compared to other facets, it remains unclear why this plane does not dominate zinc crystal faces during electrodeposition under normal conditions. This knowledge gap underscores the need to better understand zinc electrodeposition behaviors and the influence of electrolyte compositions on its crystallographic texture. This study explores different tetraazamacrocycle derivatives as electrolyte additives. It reveals that achieving (002)‐textured zinc deposition is not solely dictated by thermodynamic equilibrium but also significantly influenced by interface dynamics. In typical ZnSO 4 electrolytes, imbalanced kinetics among reduction, ion diffusion, and adatom diffusion processes lead to electroconvection and disorderly zinc accumulation, hindering proper zinc growth. In contrast, introducing specific tetraazamacrocycle derivative in the electrolyte regulates reduction rate, enhances limiting current density, and expedites adatom diffusion, mitigating hydrodynamic instability and dendrite growth. This regulation restores the thermodynamically favorable flat (002)‐textured zinc deposition, extending the zinc anode's lifespan to 1800 h at 5 mA cm −2 and 5 mAh cm −2 , enabling the fabrication of a high‐performance zinc ion hybrid capacitor prototype capable of stable operation for 40 000 cycles.
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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