Influence of Pd Decoration on Carbon-Based Nanomaterials Towards Electrochemical Hydrogen Storage
Bibliographic record
Abstract
The growing need for deep decarbonisation of current global energy systems makes hydrogen-based economy an attractive option for the future. For the envisaged hydrogen economy to be commercially accessible, the challenge for hydrogen storage must be addressed. Solid-state hydrogen storage has received tremendous research interest due to its advantages, such as low cost, high efficiency, safety and high volumetric storage capacity [1,2]. In this study, different carbon-based materials were synthesized and characterized for hydrogen storage. The effect of the modification of those carbon-based materials with Pd nanoparticles was investigated. The significant enhancement of the hydrogen storage capacity is presented References: [1] L. Schlapbach, A. Züttel, Hydrogen-storage materials for mobile applications, Nature 414 (2001) 353–358. [2] E. Boateng, A. Chen, Recent advances in nanomaterials-based solid-state hydrogen storage, Mater. Today Adv. (2019) in press .
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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 | 0.001 | 0.001 |
| 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".