Evaluation of the Electrochemical Performance of Li<sub>4</sub>Ti<sub>5-X</sub>Al<sub>x</sub>O<sub>12 </sub>as Anode Material for Lithium-Ion Batteries
Bibliographic record
Abstract
Rechargeable lithium-ion batteries (RLIBs) have shown potential as future batteries for electric vehicles and portable electronics. This results from their high energy density, high power, environmental safety, low cost electrode materials and long life. While during the charge/discharge processes the lithium-ions intercalate and de-intercalate from the electrodes, such that the performance of the RLIBs depends mostly on the material properties. This perspective has led to the development of novel anode materials to advance from the use of graphite and other carbon based materials. Some drawbacks of these materials include safety concerns, low operating voltage, and shorter lifetime. The spinel-type lithium titanate (Li4Ti5O12, LTO) as a promising anode material has become more attractive for its negligible lattice changes during cycling, high theoretical capacity (175 mAh/g), flat voltage plateau of 1.55 V vs Li/Li+, long cycling stability and environmental compatibility. This outlook introduced more studies on the improvement of the low electronic conductivity and low diffusion coefficient of the Li-ions in LTO which hinders the advancement of the LTO to meet requirements for high capacity large scale applications. In this work, a comprehensive study of doping with aluminium (Al) on the titanium site was carried out with aim to improve the capacity and cyclability performance. Al-doped LTO in the form of Li4Ti5-xAlxO12 (x = 0, 0.05, 0.1, 0.15, 0.2) was synthesized via a conventional solid state reaction in an air atmosphere. Al-doping does not change the plateau voltage (1-2.5 V) of LTO during cycling, but showed a slight increase in the polarization of the electrode especially for 0.05Al. Li4Ti4.85Al0.15O12 demonstrated an increase in the initial discharge capacity (172 mAh/g) relative to Li4Ti5O12 (154 mAh/g) and an improved rate capability and cyclability. The enhanced electronic conductivity and rate capability can be attributed to the mixture of the redox couple of Ti3+/Ti4+ and high Li+ diffusivity. Moreover, the enhanced cyclability results from the stability of Al-O than for Ti-O in the octahedral coordination polyhedron, thus strengthening the stability of the spinel structure.
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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 | 0.001 | 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".