Copper Substitution Enhances Ni/Mn–O Hybridization for Improved Redox Kinetics and Stability in Sodium-Ion Cathodes
Bibliographic record
Abstract
In sodium-ion battery layered oxide materials, research on copper doping mechanisms has primarily focused on regulating oxygen redox reactions (e.g., optimizing charge compensation, stabilizing TMO 2 layers), enhancing material air stability, and inhibiting phase transitions. However, there has been limited exploration of the role of copper ions in modulating the local electronic structure of transition metals (such as Ni/Mn in the 2–4 V capacity region). In this study, we demonstrate that Cu 2+ substitution restructures the Ni/Mn–O orbital hybridization network, synergistically optimizing the redox activity of Ni 2+ and the structural stability of Mn 3+ . The Cu-substituted Na 0.67 (Ni 0.2 Mn 0.7 Mg 0.1 ) 0.9 Cu 0.1 O 2 (NMMC-0.10) significantly enhances the Ni 2+ /Ni 3+ redox reaction in the 3–4 V region (with a marked increase of 29.7% in capacity contribution) and effectively suppresses the Jahn–Teller distortion of Mn 3+ in the <3 V range. Density functional theory (DFT) calculations reveal that Cu 2+ ’s 3d orbitals enhance Ni/Mn 3d–O 2p hybridization (orbital overlap integral 1.3 times that of the baseline), broaden the transition metal electronic state distribution (bandwidth increases by 15.6%), significantly strengthen the TM–O bond (12.5% increase), and form a robust Cu–O framework. Thanks to these synergistic effects, NMMC-0.10 exhibits outstanding electrochemical performance in the 2.0–4.5 V voltage window: 82.87% capacity retention after 200 cycles at 1 C (compared to 65.2% for the baseline) and an energy density of 412 Wh/kg, an 18.6% improvement over the baseline. This study provides theoretical insights into the design of layered oxide cathode materials by revealing the specific electronic structure modulation mechanism of Cu substitution.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".