Phase behavior of x-shaped liquid crystalline macromolecules
Abstract
X-shaped liquid crystalline macromolecules (XLCMs) are obtained by tethering two flexible end A-blocks and two flexible side B-blocks to a semiflexible R-block. A rich array of ordered structures can be formed from XLCMs, driven by the competition between the interactions between the chemically distinct blocks and the molecular connectivity. Here, we report a theoretical study on the phase behavior of XLCMs with symmetric and asymmetric side blocks by using the self-consistent field theory (SCFT). A large number of ordered structures, including smectic phases, simple and giant polygons, are obtained as solutions of the SCFT equations. Phase diagrams of XLCMs as a function of the total length and asymmetric ratio of the side chains are constructed. For XLCMs with symmetric side blocks, the theoretically predicted phase transition sequence is in good agreement with experiments. For XLCMs with a fixed total side chain length, transitions between layered structure to polygonal phases, as well as between different polygonal phases, could be induced by varying the asymmetry of the side chains. The free energy density, domain size, side chain stretching, and molecular orientation are analyzed to elucidate mechanisms stabilizing the different ordered phases.
Article Details
Journal Info
The Journal of Chemical Physics
American Institute of Physics
Authors (5)
Dan Wei
Zhijuan He
Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, School of Mathematics and Computational Science, Xiangtan University 1 , Xiangtan, Hunan 411105,
Yunqing Huang
School of Mathematics and Computational Science, Xiangtan University 1 , Xiangtan, Hunan 411105,
An-Chang Shi
Department of Physics and Astronomy
Kai Jiang
Department of Pharmacy, The First Affiliated Hospital of the University of Science and Technology of China, and State Key Laboratory of Precision and Intelligent Chemistry