Lithium Plating Using a Thermoplastic Vulcanizate Electrolyte
Bibliographic record
Abstract
Lithium metal anodes have generated significant interest due to their high theoretical capacity. However, issues such as dendrite growth or cell failure caused by lithium loss with either liquid electrolytes or solid polymer electrolytes (SPEs) have hindered its widespread commercialization. In this work, we report on the electrochemical characterization of symmetric Li-SPE-Li cells made with a thermoplastic vulcanizate electrolyte, PCl:HNBR LiTFSI. Full plating of the lithium metal (LiM) electrode was achieved at 100 μA.cm −2 in pressurized pouch cells. This was confirmed ex situ using scanning electron microscopy which showed the absence of dendrites. The Sand equation was employed at higher current densities to determine that the lithium diffusion coefficient at 60 °C is 1.7 × 10 −8 cm 2 .s −1 . The calculated threshold current density j* was approximately 200 μA.cm −2 . The determination of the theoretical current density limit may provide critical information for the understanding of the behavior of cathode materials during cycling with lithium metal. Cell failure at high polarization or from short circuiting was experimentally confirmed in symmetric Li-Li cells where 100 cycles were performed at a current density below j* with 0.1 mAh.cm −2 of charge per cycle, while 0.5 mAh.cm −2 of charge rapidly induced cell failure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".