MXene‐Cobalt Hybrid Electrodes for Electroactive Artificial Muscle
Bibliographic record
Abstract
The synthesis of MXene‐cobalt hybrid (MX‐Co) is presented utilizing a molten salt approach, targeting the application in artificial muscle technology. Mxenes possess exceptional electronic conductivity and surface chemistry, making them ideal candidates for electrochemical applications. Cobalt, known for its ferromagnetic qualities, is a good match for MXenes and enhances artificial muscles’ mechanical performance. By circumventing hazardous hydrofluoric (HF) acid, a facile and scalable synthesis process for MX‐Co hybrids is demonstrated. Their structural and electrochemical characteristics are revealed through characterization using cutting‐edge spectroscopic and microscopic techniques. When compared to typical PEDOT: PSS electrodes, electrochemical experiments show that MX‐Co electrodes have higher electroactive performance, with enhanced bending deformation under various input conditions. MX‐Co hybrids exhibit a specific capacitance of 77.34 F g−1, 1.6 times higher than PEDOT: PSS, and achieve a substantial enhancement of electrochemical bending displacement, up to 11.72 mm under a low input voltage of 1 V, showcasing their potential for soft actuator applications.
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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 | 0.000 |
| 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) | 0.001 | 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".