title: Structure and effective interactions of comb polymer nanocomposite melts.
abstract: In this work, the structure and effective interactions of branched comb polymer nanocomposite (PNC) melts are investigated by using the polymer reference interaction site model (PRISM) integral equation theory. It is observed that the nanoparticle contact (bridging) aggregation is formed when the nanoparticle-monomer attraction strength is relatively weak (large) in comb PNCs. The organization states of aggregation for the moderate nanoparticle-monomer attraction strength can be well suppressed by the comb polymer architecture, while the bridging structure for relatively large attraction is obviously promoted. With the increase of the particle volume fraction, the organization states of bridging-type structure become stronger and tighter; however, this effect is weaker than that of the nanoparticle-monomer attraction strength. When the particle volume fraction and moderate nanoparticle-monomer attraction strength are fixed, the effects of degree of polymerization, side chain number, side chain length, and nanoparticle-monomer size ratio on the organization states of PNC melts are not prominent and the nanoparticles can well disperse in comb polymer. All the observations indicate that the present PRISM theory can give a detailed description of the comb PNC melts and assist in future design control of new nanomaterials.
authors.affiliation: Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.
authors.forename: Qinzhi
authors.initials: Q
authors.lastname: Xu
authors.affiliation: Research Institute of China Lucky Film Corporation, Baoding 071054, China.
authors.forename: Mengjin
authors.initials: M
authors.lastname: Xu
authors.affiliation: School of Advanced Materials, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
authors.forename: Yancong
authors.initials: Y
authors.lastname: Feng
authors.affiliation: Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.
authors.forename: Lan
authors.initials: L
authors.lastname: Chen