Reductive Dechlorination of Chlorinated Solvents on Zerovalent Iron Surfaces
Bibliographic record
Abstract
Optimal design of zerovalent iron-based permeable reactive barriers requires a complete understanding of dechlorination kinetics and mechanism. The effect of other ambient constituents, which may retard or enhance the dechlorination processes, should be considered. Literature has revealed that reduction of chlorinated compounds occurs on the iron surface and the reaction rate is limited by surface processes, rather than transport processes. Adsorption onto the surface can take place on both reactive sites that are responsible for the reductive dechlorination, and nonreactive sites that only sequester the contaminants. This chapter explores a model based on the assumptions that adsorption equilibrium on the two types of surface sites is always maintained, but the reduction rate is directly proportional to the amount sorbed onto reactive sites only. Numerical solutions are obtained to illustrate the effect of coadsorbates on the adsorption and reduction of chlorinated compounds under this mechanistic framework.
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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 | 0.001 |
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".