Cycling Performance of NMC811 Anode-Free Pouch Cells with 65 Different Electrolyte Formulations
Bibliographic record
Abstract
Liquid electrolytes for anode-free Li metal batteries (LMBs) provide a cost-effective path to high energy density. However, liquid electrolytes are challenging due to the reactivity of Li0 with the electrolyte and the resulting Li loss, as well as mossy Li deposits leading to inactive Li and dendrite formation. Thus, more research is needed to develop electrolytes capable of 80 % capacity retention after 800 cycles to meet electric vehicle (EV) demands. Here, we report cycle life results from 65 electrolyte mixtures consisting of various additives or co-solvents added to a dual-salt base electrolyte previously reported by our group. We tested these electrolyte systems using a practical anode-free pouch cell design with a high-loading (16 mg cm−2, or 3.47 mAh cm-2) LiNi0.8Mn0.1Co0.1O2 (NMC811) cathode, with a bare Cu foil as the counter electrode. All cells in this work were cycled at 40 °C with 0.2C/0.5C charge/discharge rates between 3.55–4.40 V. Based on the total energy delivered over 140 cycles, only four electrolytes showed marginal improvement over the baseline, while the other electrolytes were uncompetitive. This data set can serve as a guide for LMB researchers investigating electrolyte systems and highlights the challenges associated with liquid electrolytes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".