Software for Evaluating Ionic Conductivity of Inorganic–Polymer Composite Solid Electrolytes
Inorganic–polymer composite solid electrolytes (IPCSEs) obtained by filling the polymer matrix with inorganic materials usually have higher ionic conductivity compared with individual phases. This important increase in ionic conductivity is explained in terms of the new percolation paths formed by t...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2023-01-01
|
| Series: | Energy Material Advances |
| Online Access: | https://spj.science.org/doi/10.34133/energymatadv.0041 |
| _version_ | 1797783698457755648 |
|---|---|
| author | Yuqing Ding Bing He Da Wang Maxim Avdeev Yajie Li Siqi Shi |
| author_facet | Yuqing Ding Bing He Da Wang Maxim Avdeev Yajie Li Siqi Shi |
| author_sort | Yuqing Ding |
| collection | DOAJ |
| description | Inorganic–polymer composite solid electrolytes (IPCSEs) obtained by filling the polymer matrix with inorganic materials usually have higher ionic conductivity compared with individual phases. This important increase in ionic conductivity is explained in terms of the new percolation paths formed by the highly conductive interface between inorganic filler and polymer. The conduction in such systems can be investigated using the effective medium theory (EMT) and random resistance model (RRM). EMT can be used to analyze the effect of filler size on the ionic conductivity of disordered IPCSEs, while RRM can describe the composites with inorganic fillers of various shapes (nano-particles, nano-wires, nano-sheets, and nano-networks) in ordered or disordered arrangement. Herein, we present software evaluating the ionic conductivity in IPCSEs by combining EMT and RRM. The approach is illustrated by considering the size, shapes, and arrangements of inorganic fillers. The ionic conductivities of different types of IPCSEs are predicted theoretically and found in good agreement with the experimental values. The software can be used as an auxiliary tool to design composite electrolytes. |
| first_indexed | 2024-03-13T00:29:34Z |
| format | Article |
| id | doaj.art-fc768a57af0c4f72a37cd6e9a11a5c30 |
| institution | Directory Open Access Journal |
| issn | 2692-7640 |
| language | English |
| last_indexed | 2024-03-13T00:29:34Z |
| publishDate | 2023-01-01 |
| publisher | American Association for the Advancement of Science (AAAS) |
| record_format | Article |
| series | Energy Material Advances |
| spelling | doaj.art-fc768a57af0c4f72a37cd6e9a11a5c302023-07-10T20:38:29ZengAmerican Association for the Advancement of Science (AAAS)Energy Material Advances2692-76402023-01-01410.34133/energymatadv.0041Software for Evaluating Ionic Conductivity of Inorganic–Polymer Composite Solid ElectrolytesYuqing Ding0Bing He1Da Wang2Maxim Avdeev3Yajie Li4Siqi Shi5School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China.School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China.School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China.Australian Nuclear Science and Technology Organisation, Sydney 2232, Australia.School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China.School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China.Inorganic–polymer composite solid electrolytes (IPCSEs) obtained by filling the polymer matrix with inorganic materials usually have higher ionic conductivity compared with individual phases. This important increase in ionic conductivity is explained in terms of the new percolation paths formed by the highly conductive interface between inorganic filler and polymer. The conduction in such systems can be investigated using the effective medium theory (EMT) and random resistance model (RRM). EMT can be used to analyze the effect of filler size on the ionic conductivity of disordered IPCSEs, while RRM can describe the composites with inorganic fillers of various shapes (nano-particles, nano-wires, nano-sheets, and nano-networks) in ordered or disordered arrangement. Herein, we present software evaluating the ionic conductivity in IPCSEs by combining EMT and RRM. The approach is illustrated by considering the size, shapes, and arrangements of inorganic fillers. The ionic conductivities of different types of IPCSEs are predicted theoretically and found in good agreement with the experimental values. The software can be used as an auxiliary tool to design composite electrolytes.https://spj.science.org/doi/10.34133/energymatadv.0041 |
| spellingShingle | Yuqing Ding Bing He Da Wang Maxim Avdeev Yajie Li Siqi Shi Software for Evaluating Ionic Conductivity of Inorganic–Polymer Composite Solid Electrolytes Energy Material Advances |
| title | Software for Evaluating Ionic Conductivity of Inorganic–Polymer Composite Solid Electrolytes |
| title_full | Software for Evaluating Ionic Conductivity of Inorganic–Polymer Composite Solid Electrolytes |
| title_fullStr | Software for Evaluating Ionic Conductivity of Inorganic–Polymer Composite Solid Electrolytes |
| title_full_unstemmed | Software for Evaluating Ionic Conductivity of Inorganic–Polymer Composite Solid Electrolytes |
| title_short | Software for Evaluating Ionic Conductivity of Inorganic–Polymer Composite Solid Electrolytes |
| title_sort | software for evaluating ionic conductivity of inorganic polymer composite solid electrolytes |
| url | https://spj.science.org/doi/10.34133/energymatadv.0041 |
| work_keys_str_mv | AT yuqingding softwareforevaluatingionicconductivityofinorganicpolymercompositesolidelectrolytes AT binghe softwareforevaluatingionicconductivityofinorganicpolymercompositesolidelectrolytes AT dawang softwareforevaluatingionicconductivityofinorganicpolymercompositesolidelectrolytes AT maximavdeev softwareforevaluatingionicconductivityofinorganicpolymercompositesolidelectrolytes AT yajieli softwareforevaluatingionicconductivityofinorganicpolymercompositesolidelectrolytes AT siqishi softwareforevaluatingionicconductivityofinorganicpolymercompositesolidelectrolytes |