A General Approach for Electrochemical Impedance Spectroscopy Simulation using Transient Mechanistic SOFC Model
Bibliographic record
Abstract
A general approach for electrochemical impedance spectroscopy (EIS) simulation was developed by solving a 1-D transient model based on physical conservation laws. This method is not specific to a certain type of electrochemical system nor is material dependent. This approach is illustrated in this paper by developing a transient model of an anode-supported SOFC button cell consisting of Ni-YSZ|Ni-ScSZ|ScSZ|LSM-ScSZ multiple layers. In this model, instead of being considered as boundary conditions at the electrode/electrolyte interface, the electrochemical reaction zone expanded though the electrode. The transient model has been solved for imposed sinusoidal voltage perturbations at different frequencies. The results have then been transformed into EIS spectra. The EIS simulation results were compared with experimental data under different temperatures using humidified H2 fuel and air oxidant to prove the validity of the EIS modeling approach. The model was further validated by comparing the steady-state results obtained from the transient model with the polarization curves.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".