Performance of Zn Electrode in Aqueous Electrolyte Containing Carboxylate
Bibliographic record
Abstract
Zinc is widely used as negative electrode material for the battery due to its excellent electrochemical properties [1][2].It is hindered that zinc is used in weak acidic electrolyte (for example, aqueous Zn-polyaniline battery [3][4][5][6]) because zinc is prone to corrosion and the formation of zinc dendrite cause short circuit of the battery, which lead to reduce battery capacity and shorten the cycle life.In this paper the influences of carboxylates (sodium formate, sodium acetate, sodium propionate, sodium butyrate, sodium valerate, disodium malonate, disodium succinate) as the additives of aqueous electrolyte on the performance of the Zn electrode are studied.The results show that the new electrolyte can effectively eliminate the hydrogen evolution corrosion of the zinc electrode and improve the discharge capacity and cycle life of Zn/PANI secondary battery.In the aqueous electrolyte containing 0.2M disodium malonate the initial discharge specific capacity of the polyaniline in the Zn-polyaniline battery is as high as 131.1 mAh g -1 , which is still 110 mAh g -1 and the coulombic efficiency is over 92% after 100 cycles at a charge/discharge current density of 1 A g -1 in the voltage range 1.5 ~ 0.7 V.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".