Microstructure and Some Dynamic Performances of Ti-V-Nb-Cr-Ni Electrode Alloy
Bibliographic record
Abstract
Microstructure and some dynamic performances of Ti0.25V0.34Nb0.01Cr0.10Ni0.30 electrode alloy were studied by XRD, FESEM-EDS and EIS measurements. Based on XRD and FESEM-EDS analysis, the alloy is mainly composed of V-based solid solution with BCC structure and TiNi-based secondary phase. V-based solid solution phase looks as a dendrite surrounded by TiNi-based secondary phase. The discharge capacity increases with increasing temperature in a wider temperature region from 303 K to 343 K. The result of electrochemical impedance spectrometry (EIS) indicates that the charge transfer resistance (RT) decreases with increasing temperature, while the exchange current density (i0) and the diffusion coefficient of hydrogen (D) in the bulk of the alloy increase with increasing temperature. The exchange current density (i0) at 343 K is about 3.6 times and 13.6 times larger than that at 323 K and 303 K, respectively, but diffusion coefficient of hydrogen does not increase so much. The apparent activation energy of the electrochemical reaction on the surface of the electrode alloy is far higher than that for AB5 type alloy. The result of HRD indicates that the diffusion of hydrogen in the bulk of the alloy may be a rate-limiting step during the discharge process at higher discharge current density.
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.
How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".