Ultrafast Laser Texturing of Ceramic Electrolytes toward Solid-State Battery Application
Bibliographic record
Abstract
Solid-state batteries are expected to complement liquid-based lithium-ion batteries (LIBs) with improved safety and energy density. However, point-to-point interface contact between oxide-based ceramic solid-state electrolytes (SSEs) and electrodes impedes Li-ion transfer and degrades the battery performance. Herein, micropatterns with controllable geometries were created onto perovskite-type SSE surfaces via femtosecond ultrafast laser processing. Laser-textured SSEs with two-directional (2D) perpendicular grooves can achieve a significant reduction in interfacial resistance (<1 versus 3416.81 Ω cm –2 for bare sample) attributed to increased contact area and trapping of the liquid electrolyte. This work serves as a proof-of-concept for applying ultrafast laser processing toward solid-state battery applications.
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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".