New Advances in Proton Conducting Polymer Electrolytes and their Applications in Ultrahigh Rate Solid Electrochemical Capacitors
Bibliographic record
Abstract
Keryn Lian - Associate Professor at the Department of Materials Science and Engineering, University of Toronto. \n \nRate and power capabilities are key characteristics of electrochemical capacitors (EC). The ultra-high rate capabilities of up to 200 V/s charge/discharge rate as reported by Pech et al.[1] and 120 Hz filtering as reported by Miller et al. [2] have further broadened their application area in electronics. Both reports attributed the achieved ultrahigh rates to novel electrode materials such as onion-like nanocarbon (OLC) and graphene, while relying on conventional liquid electrolytes. We believe that solid-polymer electrolytes can contribute to high rate energy storage devices and have demonstrated solid EC devices with very promising results. In addition to improving device energy density and power density by reducing packaging, solid-polymer electrolytes acting as separator and ionic conductor can also enable thin, flexible, and light form factors and can provide better environmental safety and stability compared to their liquid counterparts. \n \nSolid-polymer electrolytes comprised of silicotungstic acid (SiWA) in a polyvinyl alcohol (PVA) matrix were developed for ECs. Addition of phosphoric acid has further enhanced the ionic conductivity of SiWA-PVA electrolytes. The proton conductivity of the phosphoric acid modified electrolyte reached >0.02 S/cm with very good stability. Both SiWA-PVA and H3PO4-modified SiWA-PVA electrolytes conducted protons via a hopping mechanism. All-solid ECs utilizing our polymer electrolytes with double layer or pseudocapacitive electrodes have demonstrated ultra-high rate performance. While the solid EC with planer stainless steel electrodes reached 5000 V/s, solid ECs with graphite and pseudocapacitive MoN were able to charge and discharge up to 100 V/s in cyclic voltammetry. These are, to our knowledge, the fastest ever been reported. Thermal and structural characterizations revealed that several measures, such as additives or polymer cross-linking, can further enhance the proton conductivity and stability. For example, the addition of phosphoric acid enhanced the thermal stability of the polymer electrolyte and promoted the retention of crystallized water without altering the bonding structure of the original SiWA-PVA network.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".