Chemical speciation and mapping of the Si in Si doped LFP ingot with synchrotron radiation technique
Bibliographic record
Abstract
Abstract Development of LiFePO4 cathode material with high cycle life through Si doping (substituting Si at P sites of LiFePO4) has shown that small changes to the structure of LiFePO4 can significantly affect the performance of Li ion batteries. However, determining the nature of elemental doping and their effects on the electronic and atomic structure of LiFePO4 remains challenging. Here we present x‐ray absorption spectroscopy and x‐ray fluorescence mapping as ideal characterization methods for understanding the effect of Si doped LiFePO4 prepared using a melt‐synthesis process. x‐ray absorption spectra of silicon doped LiFePO4 indicate subtle changes in the local structure surrounding the dopants compared to SiO2 and amorphous glass phases formed as impurities in Si containing undoped samples. The study of Fe and P K‐edges x‐ray absorption spectra illustrates the effect of Si in the LiFePO4 structure in doped and impurity containing samples. Utilizing x‐ray absorption spectroscopy, in conjunction with x‐ray fluorescence mapping, has enabled a better overview of the non‐uniform nature of prepared ingot samples. These results highlight the power of x‐ray absorption spectroscopy as a tool for better understanding the structure of modified LiFePO4 and subsequently designing materials for Li ion batteries.
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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".