Inducing and Characterizing Structural Changes in RuO2â¢xH2O
Bibliographic record
Abstract
RuO2/carbon composites have attracted a lot of attention for use as supercapacitor electrodes due to their high power and energy capabilities. Methods for loading the RuO2 into the carbon include impregnation and electrochemical deposition. The first project involves impregnation of RuO2 nanoparticles into a mesoporous carbon powder. Structural changes of the RuO2 nanoparticles in the composite were induced by annealing at high temperatures, and X-ray diffraction (XRD) and X-ray absorption (XAS) were used to study the changes.\nIn situ electrochemical-XAS experiments were also developed and performed to study the structural stability of the RuO2 nanoparticles in the composite as well as bulk RuO2•xH2O, with respect to changing potential.\nPreliminary work on the electrodeposition of RuO2•xH2O onto Au foil and carbon cloth was performed. An electrode with a high specific capacitance of the RuO2•xH2O component was achieved. However, further studies need to be performed to optimize the deposition solution.
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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".