In this study, Monte Carlo (MC) simulation is conducted with recurrence relation to study the effect of SiO<sub>2</sub> with different particle size and their roles in enhancing the ionic conductivity and lithium transference number of PMM...
http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
https://www.riss.kr/link?id=A107622865
2021
English
SCIE,SCOPUS
학술저널
217-224(8쪽)
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
In this study, Monte Carlo (MC) simulation is conducted with recurrence relation to study the effect of SiO<sub>2</sub> with different particle size and their roles in enhancing the ionic conductivity and lithium transference number of PMM...
In this study, Monte Carlo (MC) simulation is conducted with recurrence relation to study the effect of SiO<sub>2</sub> with different particle size and their roles in enhancing the ionic conductivity and lithium transference number of PMMA composite polymer electrolytes (CPEs). The MC simulated ionic conductivity is verified with the measurements from Electrochemical Impedance Spectroscopy (EIS). Then, the lithium transference number of CPEs is calculated using recurrence relation with the MC simulated current density and the reference transference number obtained. Incorporation of micron-size SiO<sub>2</sub> (≤10 ㎛) fillers into the mixture improves the ionic conductivity from 8.60×10<sup>-5</sup> S/cm to 2.35×10<sup>-4</sup> S/cm. The improvement is also observed on the lithium transference number, where it increases from 0.088 to 0.3757. Furthermore, the addition of nano-sized SiO<sub>2</sub> (≤12 nm) fillers further increases the ionic conductivity up towards 3.79×10<sup>-4</sup> S/cm and lithium transference number of 0.4105. The large effective surface area of SiO<sub>2</sub> fillers is responsible for the improvement in ionic conductivity and the transference number in PMMA composite polymer electrolytes.