CO/CO<sub>2</sub> Study of High Performance La<sub>0.3</sub>Sr<sub>0.7</sub>Fe<sub>0.7</sub>Cr<sub>0.3</sub>O<sub>3–</sub><i><sub>δ</sub></i> Reversible SOFC Electrodes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract In this study, we demonstrate that the La 0.3 Sr 0.7 Fe 0.7 Cr 0.3 O 3– δ (LSFCr) perovskite, examined here as a CO/CO 2 fuel electrode material intended for symmetrical, reversible solid oxide fuel cell (RSOFC) applications, is both high performing and stable towards CO 2 electrolysis (SOEC mode) and the oxidation of CO (SOFC mode). To demonstrate this, symmetrical LSFCr/GDC/YSZ/GDC/LSFCr cells were evaluated electrochemically by using both DC (cyclic voltammetry (CV) and galvanostatic) and AC (impedance) techniques. The cells were tested at 800 °C using either 90% CO 2 :10% CO or 70% CO 2 :30% CO at the fuel electrode and air flowing to the O 2 electrode. From the open circuit impedance data, the polarization resistance, measured at 800 °C in a 90% CO 2 :10% CO and 70% CO 2 :30% CO gas composition, was 1.3 Ω cm 2 and 0.9 Ω cm 2 , respectively. Both the CV and polarized impedance data showed that the cell performance is higher during the electrolysis of CO 2 than for the oxidation of CO. Furthermore, the cell showed a very stable activity during CO 2 electrolysis, with a degradation rate of only 0.057 mV h −1 after ca. 135 h of galvanostatic testing at –100 mA cm −2 in 90% CO 2 :10% CO at 800 °C.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.008 | 0.009 |
| Meta-epidemiology (broad) | 0.008 | 0.002 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.008 |
| Open science | 0.009 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.000 | 0.013 |
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 it