Prelithiated Li-Enriched Gradient Interphase toward Practical High-Energy NMC–Silicon Full Cell
Bibliographic record
Abstract
It is highly desirable to realize high-energy-density lithium-ion batteries consisting of nickel-rich layered oxide cathodes (Ni-rich NMC) and Si-based anodes. A critical challenge for Ni-rich NMC is its fast capacity degradation. In addition, the low initial Coulombic efficiency of the Si-based anode consumes the electrochemically active lithium from the cathode and decreases the energy density of full batteries considerably. We consider cathode and anode as a whole to simultaneously resolve the issues of both sides. Ni-rich LiNi 0.65 Mn 0.20 Co 0.15 O 2 (LR-Ni65) consisting of a lithium-enriched gradient interphase layer (∼20 nm) is designed to supply excess electrochemically active lithium to compensate lithium loss at the anode and enhance cycling stability through regulating Li/Ni disorder in the cathode structure. We show that a LR-Ni65||Si/graphite pouch cell displays a capacity (3.29 Ah) greater than that for the counterpart using pristine Ni-rich NMC (2.95 Ah), as well as enhanced cycling stability with 88% capacity retention. The good compatibility with current Ni-rich NMC processing and facile synthesis make the as-fabricated cathode material promising for practical commercial application.
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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 | 0.001 |
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".