Research and Development of Popcorn-Shaped Co<sub>3</sub>O<sub>4</sub>@CoCO<sub>3</sub> Zinc Ion Battery Composite Cathode Material Prepared by Hydrothermal Method
Bibliographic record
Abstract
Co 3 O 4 and CoCO 3 materials have broad development prospects as zinc ion battery materials in water systems. In this paper, Co 3 O 4 @CoCO 3 composite material for water zinc ion battery cathode was synthesized by hydrothermal method, and the best raw material was selected by screening the cobalt source. Then the temperature and time of hydrothermal reaction were optimized, as well as the temperature and time of calcination, so as to discover the best experimental route for the synthesis of Co 3 O 4 @CoCO 3 composite materials. The capacity of the Co 3 O 4 @CoCO 3 composite material rises to 124.89[Formula: see text]mAh/g after 10 cycles of charge and discharge at 50[Formula: see text]mA/g current density, indicating its electrochemical performance is good. The XRD analysis of the material shows that the composite is mainly composed of Co 3 O 4 @CoCO 3 crystal structure, and no obvious impurity is found. As can be seen from the SEM image of synthesized composite material, the main morphology of the material is a round block structure covered with folds, similar to the popcorn shape. The EDS test and element analysis show that all elements are evenly distributed in microscale. Through the analysis of infrared spectra, it can be seen that Co 3 O 4 and CoCO 3 are composited together, forming a stable structure, and enhancing the electrochemical performance of the material.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".