Adsorption of HCl on Single-Crystal α-Al2O3 (0001) Surface: A DFT Study
Bibliographic record
Abstract
First principles calculations based on density functional theory (DFT) and the pseudopotential method have been used to study the adsorption of HCl on the basal plane of an -Al2O3 crystal. The calculations accurately reproduce the energetic and structural properties of bulk alumina and of the -Al2O3 (0001) surface. A 2 ? 2 supercell slab model was used to study both the molecular and dissociative adsorption of HCl on the -Al2O3 (0001) surface. Our calculations indicate that the dissociative configurations have adsorption energies that are at least 28 kcal/mol greater than the molecular configurations on the surface. Several ionic adsorption configurations have been investigated in which the proton is adsorbed on a nearest neighbor surface O-ion site (1-2 adsorption), or a next nearest neighbor surface O-site (1-4 adsorption). We have found that the highest binding energy corresponds to 1-2 adsorption. Analysis of the surface coverage effects shows that by increasing the coverage of 1-2 adsorbed HCl molecules to a full monolayer, the adsorption energy of each HCl decreases by about 10 kcal/mol as a result of repulsions between neighboring molecules. Implications of HCl binding to particles of -Al2O3 released in the exhaust of the space shuttle booster rockets on the active chlorine-producing reaction in the stratosphere are discussed.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".