Evaluation of Gibbs Energy of Dioxouranium Transfer at an Electrified Liquid|Liquid Interface Supported on a Microhole
Bibliographic record
Abstract
Abstract Herein is reported the determination of the Gibbs energy of dioxouranium (UO22+) transfer across an interface between two immiscible electrolytic solutions (ITIES), water and 1,2‐dichloroethane, that was supported at a 25 µm diameter microhole, by means of linear sweep voltammetry. Through the use of minimal to no supporting electrolyte, this technique is able to observe ion transfer (IT) of extremely hydrophilic ions voltammetrically. As the applied potential in the aqueous phase became increasingly positive the UO22+ ions were driven into the organic phase resulting in IT. The standard transfer potential, Δwoϕ°′ was determined to be 0.865 V through a novel curve fitting methodology applied directly to the voltammogram. The Gibbs energy of transfer was calculated to be 167 kJ⋅mol−1. Additionally, the kinetics of IT was explored using a Butler–Volmer model through finite element analysis, whereby the voltammetric current response owning to migration effects in the experimental CVs was approximated in the overlaid, simulated CVs using slow reaction kinetics.
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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 | 0.001 | 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".