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作 者:Yuqing Ding Bing He Da Wang Maxim Avdeev Yajie Li Siqi Shi
机构地区:[1]School of Materials Science and Engineering,Shanghai University,Shanghai 200444,China [2]School of Computer Engineering and Science,Shanghai University,Shanghai 200444,China [3]Australian Nuclear Science and Technology Organisation,Sydney 2232,Australia [4]School of Chemistry,The University of Sydney,Sydney 2006,Australia [5]Materials Genome Institute,Shanghai University,Shanghai 200444,China
出 处:《Energy Material Advances》2023年第1期353-362,共10页能源材料前沿(英文)
基 金:National Key Research and Development Program of China(No.2021YFB3802104);National Natural Science Foundation of China(Nos.U2030206 and 11874254);Shanghai Municipal Science and Technology Commission(No.19DZ2252600).
摘 要: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.
关 键 词:COMPOSITE COMPOSITES INORGANIC
分 类 号:TB33[一般工业技术—材料科学与工程]
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