Advancing Hydrodynamic Electrochemistry: A Channel Flow Cell for High-Temperature and High-Pressure Applications
Bibliographic record
Abstract
This work represents a significant advancement toward developing a channel flow cell for hydrodynamic electrochemical studies at elevated temperatures and pressures. For these initial studies, multilayer Pt thin-film electrodes were deposited on a sapphire wafer and used as the working, pseudoreference, and counter electrodes. The reduction of ferricyanide ([Fe(CN) 6 ] 3– ) and oxidation of ferrocyanide ([Fe(CN) 6 ] 4– ) in KCl, as well as the oxidation of iodide (I – ) in NaHSO 4 were used to validate the proposed setup at temperatures up to 150 °C and pressures up to 65 bar. Linear sweep voltammograms obtained for these systems exhibited well-defined plateaus under hydrodynamic conditions, as expected for reversible reactions under diffusional mass transfer control. The limiting currents also follow the behavior predicted by the Levich equation for a channel cell operating under laminar flow conditions. Diffusion coefficients for [Fe(CN) 6 ] 3–, [Fe(CN) 6 ] 4–, and I –, retrieved from the Levich plots, showed excellent agreement with reported values and with results obtained from numerical simulations using COMSOL Multiphysics and models developed as part of this study.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".