V<sub>2</sub>O<sub>5</sub> Nano‐Electrodes with High Power and Energy Densities for Thin Film Li‐Ion Batteries
Bibliographic record
Abstract
Abstract Nanostructured V 2 O 5 thin films have been prepared by means of cathodic deposition from an aqueous solution made from V 2 O 5 and H 2 O 2 directly on fluorine‐doped tin oxide coated (FTO) glasses followed by annealing at 500°C in air, and studied as film electrodes for lithium ion batteries. XPS results show that the as‐deposited films contained 15% V 4+ , however after annealing all the vanadium is oxidized to V 5+ . The crystallinity, surface morphology, and microstructures of the films have been investigated by means of XRD, SEM, and AFM. The V 2 O 5 thin film electrodes show excellent electrochemical properties as cathodes for lithium ion intercalation: a high initial discharge capacity of 402 mA h g −1 and 240 mA h g −1 is retained after over 200 cycles with a discharging rate of 200 mA g −1 (1.3 C). The specific energy density is calculated as 900 W h kg −1 for the 1 st cycle and 723 W h kg −1 for the 180 th cycle when the films are tested at 200 mA g −1 (1.3 C). When discharge/charge is carried out at a high current density of 10.5 A g −1 (70 C), the thin film electrodes retain a good discharge capacity of 120 mA h g −1 , and the specific power density is over 28 kW kg −1 .
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".