Poly(Cyano-Substituted Diheteroareneethylene) as Active Electrode Material for Electrochemical Supercapacitors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A new class of low band gap thiophene polymers prepared from ( E )-α-cyanoethylene thiophene derivatives were electrochemically and physically evaluated as active electrode material for electrochemical supercapacitors. The corresponding polymers were prepared by electrochemical polymerization of these monomers from a nonaqueous solution (acetonitrile) containing tetraethylammonium tetrafluoroborate. The electrochemical properties and the stability under cyclic voltammetry of the polymers were found to be strongly dependent on their electronic configuration, especially in the case where the monomer has two different aromatic heterocycles. The range of stable electroactivity of the polymers in organic media spans about 2 V. Since poor stability was observed by cyclic voltammetry for poly-( E )-α-[(2-thienyl)methylene]-2-(3-methylthiophene)acetonitrile and poly-( E )-α-(2-thienylmethylene)-2-furanacetonitrile, only poly-( E )-α-[(2-thienyl)methylene]-2-thiopheneacetonitrile, poly-( E )-α-[(3-methyl-2-thienyl)methylene]-2-thiopheneacetonitrile, and poly-( E )-α-[(2-furanyl)methylene]-2-thiopheneacetonitrile were evaluated as electrode materials for an electrochemical supercapacitor. Stability tests upon potential cycling between the n- and p-doped states and a potential range of about 2 V have shown a 60% decrease of the voltammetric charge for poly-( E )-α-[(2-thienyl)methylene]-2-thiopheneacetonitrile following 2000 cycles. Preliminary galvanostatic charge−discharge cycling experiments for the best system indicated an energy density of 8.6 W h/kg while it delivered a power density of 1.6 kW/kg for a discharge time of 20 s.
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.
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) | 0.016 | 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 it