Transforming Nonrecyclable Plastic Waste into Cathode Materials for Energy Storage Devices
Bibliographic record
Abstract
Abstract Plastic pollution poses a significant threat to the global health and ecosystem. Repurposing plastic wastes for sustainable energy is a promising approach to mitigate the plastic pollution problem. In this study, plastic waste‐derived activated carbon (PWC) is synthesized from nonrecyclable waste and used as a cathode material in lithium–selenium (Li–Se) batteries and zinc‐ion hybrid supercapacitors (ZHCs). Increasing the activation temperature (500–800 °C) enhances the specific surface area and pore volume and tailors the porous structure of PWC toward larger pore sizes. PWC activated at lower temperatures with potassium hydroxide (KOH) shows better performance as the Se host in Li–Se batteries due to their microporous structure for effective Se confinement. Se cathode based on PWC activated at 600 °C (PWC600/Se) delivers a reversible discharge capacity of 655.2 mAh g−1 at 0.1 C over 150 cycles. PWC activated at 800 °C (PWC800) possesses the largest surface area of 2328.2 m2 g−1 and is thus used to fabricate cathode electrodes for ZHCs. The developed PWC800‐ZHC delivers a high energy density of 97 Wh kg−1 at 1600 W kg−1 power density and excellent cycle stability with only 8% capacitance decay after 5000 cycles at 1.0 A g−1.
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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 | 0.000 |
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 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".