Impact of a Titanium-Based Surface Coating Applied to Li[Ni<sub>0.5</sub>Mn<sub>0.3</sub>Co<sub>0.2</sub>]O<sub>2</sub> on Lithium-Ion Cell Performance
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
The effect of a Ti-based surface coating on Li[Ni0.5Mn0.3Co0.2]O2 (NMC532) positive electrode material in NMC532/graphite Li-ion pouch cells has been investigated using high temperature storage testing (60 °C), ultrahigh precision coulometry, electrochemical impedance spectroscopy, accelerating rate calorimetry, and long-term cycling. Several superior electrolyte additive combinations were selected for this study. Comparing data from cells containing coated and uncoated NMC532 showed that the surface coating generally contributed to improved cell performance from many perspectives; however, for one electrolyte additive combination, cells containing coated and uncoated NMC532 had virtually identical excellent performance. In an effort to understand why the coating was effective, X-ray photoelectron spectroscopy was used to study the solid electrolyte interphases on both coated and uncoated NMC532. X-ray fluorescence studies of negative electrodes harvested from aged cells showed that the coating helped to prevent transition metal dissolution, although the amounts of metal dissolved were very small from both coated and uncoated NMC532. The “pouch bag” method was also used to study the effect of interactions between delithiated NMC532 (coated or uncoated) and lithiated graphite on gas evolution and impedance growth.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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