Cu <sup>0</sup> and Pd <sup>0</sup> loaded Organo‐Bentonites as Sponge–like Matrices for Hydrogen Reversible Capture at Ambient Conditions
Bibliographic record
Abstract
Abstract Sponge‐like gluco‐ and thioglycerol‐organo‐bentonite hosting Cu 0 and Pd 0 subnanoparticles with high affinity towards hydrogen were synthesized through an unprecedented procedure involving a chemical grafting of (3‐azidopropyl)triethoxysilane, followed by Cu‐catalyzed azide‐alkyne cycloaddition with propargyl glucoside or triallyl propargyl pentaerythritol. Further, thioglycerol groups were attached to the alkene groups by photolysis (TEC reaction). This resulted in a structure swelling, but further Cu 0 or Pd 0 nanoparticle incorporation produced a compaction due to strong O:metal and S:metal interactions that improve metal stabilization and prevent re‐aggregation. Such a structure favored hydrogen capture via physical condensation with easy release at nearly ambient temperature at the expense of hydrogen dissolution in the metal bulk. This innovative concept opens new prospects for obtaining low cost clay‐based matrices for a truly reversible capture of hydrogen.
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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".