Inhibiting Oxygen Release from Li‐rich, Mn‐rich Layered Oxides at the Surface with a Solution Processable Oxygen Scavenger Polymer
Bibliographic record
Abstract
Abstract Li‐rich Mn‐rich layered oxides (LRLO) are considered promising cathode materials for high energy density storage because of their very high capacities that owe to the reversible redox of oxide anions. However, LRLO cathodes also evolve reactive oxygen species on charge, especially in the first formation cycles, which leads to reactivity with the electrolyte at the surface, reconstruction of surface layers, and deleterious impedance growth. Here, a strategy to enhance the cycle performance of a Li‐rich Mn‐rich layered cathode is demonstrated by scavenging the evolved oxygen species with a polydopamine (PDA) surface coating. PDA, a well‐known oxygen radical scavenger, provides a chemically protective layer that diminishes not only the growth of the undesirable cathode electrolyte interphase but also results in less oxygen gas release compared to an unprotected surface, and significantly suppressed phase transformation at the surface. These factors lead to improved rate capability and diminished capacity fading on cycling; namely a capacity fade of 82% over 200 cycles at a C rate for the PDA‐coated LRLO, compared to 70% for the bare LRLO material.
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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".