A Novel Green Approach to Synthesis of Nanostructured Li<sub>4</sub>Ti<sub>5</sub>O<sub>12</sub> Anode Material
Bibliographic record
Abstract
Li 4 Ti 5 O 12 (LTO), which is strongly advocated as anode material for lithium ion batteries destined for land transport and grid-integration PV applications, was prepared via a novel low-temperature aqueous synthesis followed by annealing route using only inorganic compounds, including lithium hydroxide and inexpensive titanium tetrachloride as precursors. The synthesis of nanostructured LTO is done via the thermal transformation (annealing) of the aqueous synthesized intermediate phase, Li 1.81 H 0.19 Ti 2 O 5 ·2H 2 O (LTH). The nanostructure of the prepared LTO material was found to depend on the preceding intermediate phase formation conditions and applied annealing protocol. Thus nanoflower-structured LTO with “petals” 17-50 nm thick was produced by annealing the LTH intermediate phase at 400 o C. However, the morphology changed from flower structure into particulate, when annealing was done at a temperature higher than 500 o C. Finally, after annealing at 700 o C an LTO-rutile TiO 2 composite with average particle size of 100 nm was obtained. Possible mechanisms responsible for the different LTO nanocrystal morphologies are proposed.
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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".