Effect of Silver Particle Distribution in a Carbon Nanocomposite Interlayer on Lithium Plating in Anode-Free All-Solid-State Batteries
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Solid-state batteries can outperform lithium-ion batteries in energy per unit mass or volume when operating with a Li metal anode. However, Li anodes pose significant manufacturing challenges. Anode-free cells avoid these challenges by plating metallic Li at the anode on the first charge, but subsequent nonuniform cyclic stripping and plating decrease the Coulombic efficiency and encourage Li dendrites and early cell failure. We report a new spray-printed nanocomposite bilayer of silver/carbon black (Ag/CB) between anodic current collectors and a Li 6 PS 5 Cl solid electrolyte comprising an Ag-rich region at the current collector and a CB-rich region at the solid electrolyte. Compared with previous Ag/CB mixtures, this bilayer promoted more uniform Li anode plating and improved cycling. Cells with a high-Ni oxide cathode had an initial discharge capacity of >190 mAh/g and a Coulombic efficiency of >98% over 100 cycles. Improved Li plating uniformity with the structured Ag/CB interlayer was confirmed by using secondary-ion mass spectrometry (SIMS) imaging.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".