In-Situ Detection of Lithium Plating Using High Precision Coulometry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Plating of metallic lithium on the negative electrode in lithium-ion batteries can dramatically reduce cell lifetime, impact cell safety and must be avoided during normal cell operation. Due to the low efficiency of the lithium plating/stripping process relative to the intercalation/deintercalation of lithium from graphite, small amounts of lithium plating can be detected through high accuracy measurements of coulombic efficiency. In this study, coulombic efficiency versus charging rate was measured at different temperatures and for two cell types. Small changes to the coulombic efficiency during cycling resulting from small amounts of lithium plating during the charging process were detected using a high precision charger. Cells were disassembled and examined to confirm the presence of lithium plating at the rates predicted to cause plating. This work shows how high precision coulometry can be used to maximize the performance of the cell through battery management by varying the maximum charge rate as a function of temperature to avoid lithium plating.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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