Tracking the progression of nonuniform deterioration in a lithium-ion battery by Bragg-edge imaging using the AISTANS compact accelerator-driven neutron source
Bibliographic record
Abstract
A commercial lithium-ion battery was studied nondestructively by neutron Bragg-edge imaging at the AISTANS compact accelerator-driven neutron source for the purpose of tracking the progression of nonuniform deterioration of the battery. Neutron transmission spectra with a pixel size of 5 × 5 mm 2 in a 55 × 50 mm 2 area on the battery were obtained. For the negative electrode, graphite, LiC 12 , and LiC 6 crystals were observed in the spectra. Column density (cm −2 ) images of these crystals at three different charge/discharge-cycle states (0, 92, and 200 cycles) were obtained. Obvious nonuniformity in the images were not recognized. However, slight shifts of average column densities of all pixels after 200 cycles, which might suggest power-storage degradation of the battery sample, were observed with the LiC 6 crystals.
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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".