Suppression of Transition Metal Dissolution in Doped NMC 811 Cathode Active Materials, a Combinatorial Study
Bibliographic record
Abstract
LiNi 0.8 Mn 0.1 Co 0.1 O 2 (NMC 811) is a cathode active material of great interest due to its high capacity and lower cost compared to high Co-content layered oxides. However, it suffers from poor cyclability, in part due to Ni migration into the Li layer and surface decomposition, with transition metal dissolution further hindering long-term performance. One method of improving the cathode stability is doping the material with metal atoms. In this work, we systematically test 56 dopants simultaneously in order to further reduce the Co content and investigate the impact on structure and performance. We find that many dopants integrate into the layered structure and several dopants increase cyclability and dramatically reduce metal dissolution from the cathode. We found that Cs and Na boosted discharge capacity by 3 and 5%, respectively and that Fe and Ti reduced metal dissolution by up to 80%. This study is the first of its kind to compare such a large number of dopants in high nickel layered oxides to deepen our understanding of their relative impact and provide a framework for more efficient material exploration.
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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".