Preparation and Characterization of Ultraviolet-cured Polymer Electrolyte Poly(glycidyl methacrylate-co-methyl methacrylate)
Bibliographic record
Abstract
Effect of lithium triflate (LiTf) concentration on the properties of poly (glycidyl methacrylate-co-methyl methacrylate) P(GMAco-MMA)-based solid polymer electrolyte was investigated. The copolymer of (GMA-co-MMA) was synthesized by photopolymerization method. P(GMA–MMA) was fixed at the ratio of 90:10 based on the conductivity result of the electrolyte film. The electrolyte samples were characterized using impedance spectroscopy (EIS), cyclic voltammetry (CV) and thermogravimetric analysis (TGA). The room temperature conductivity was improved about six orders upon the addition of 30 wt. % LiTf salt into the polymer host. The highest room temperature conductivity was 1.4×10-6 S cm-1 at 30 wt. % LiTf. The highest conductivity of 1.25×10-4 S cm-1 was achieved at 393 K. The polymer electrolyte system exhibits Arrhenius-like behavior with the pre-exponential factor of 1.25×10-4 S cm-1 and activation energy of 0.39 eV. The electrolyte showed electrochemical stability window up to 3 V. The thermal stability increases with the salt concentration. The above results indicate that the electrolyte has potential for lithium ion battery application.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".