Ion conducting particle networks in liquids: modeling of network percolation and stability

被引:18
作者
Jarosik, Anna [1 ]
Traub, Uwe [1 ]
Maier, Joachim [1 ]
Bunde, Armin [2 ]
机构
[1] Max Planck Inst Festkorperforsch, D-70569 Stuttgart, Germany
[2] Univ Giessen, Inst Theoret Phys 3, D-35392 Giessen, Germany
关键词
SOGGY SAND ELECTROLYTES; 2ND PHASE; AGGREGATION; CLUSTERS;
D O I
10.1039/c0cp01870h
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Networks of inorganic particles (here SiO2) formed within organic liquids play an important role in science. Recently they have been considered as 'soggy sand' electrolytes for Li-based batteries with a fascinating combination of mechanical and electrical properties. In this communication we model formation and stability of the networks by Cluster-Cluster Aggregation followed by coarsening on a different time scale. The comparison of computer simulations based on our model with experimental results obtained for LiClO4 containing polyethylene glycol reveals (i) that the percolation threshold for interfacial conductivity is very small, (ii) that the networks once formed coarsen with a time constant that is roughly independent of volume fraction and size-to a denser aggregate which then stays stable under operating condition. (iii) Trapping of the conducting solvent at high packing is also revealed.
引用
收藏
页码:2663 / 2666
页数:4
相关论文
共 15 条