Literature DB >> 21389441

Self-assembled structures of Gaussian nematic particles.

Arash Nikoubashman1, Christos N Likos.   

Abstract

We investigate the stable crystalline configurations of a nematic liquid crystal made of soft parallel ellipsoidal particles interacting via a repulsive, anisotropic Gaussian potential. For this purpose, we use genetic algorithms (GA) in order to predict all relevant and possible solid phase candidates into which this fluid can freeze. Subsequently we present and discuss the emerging novel structures and the resulting zero-temperature phase diagram of this system. The latter features a variety of crystalline arrangements, in which the elongated Gaussian particles in general do not align with any one of the high-symmetry crystallographic directions, a compromise arising from the interplay and competition between anisotropic repulsions and crystal ordering. Only at very strong degrees of elongation does a tendency of the Gaussian nematics to align with the longest axis of the elementary unit cell emerge.

Mesh:

Year:  2010        PMID: 21389441     DOI: 10.1088/0953-8984/22/10/104107

Source DB:  PubMed          Journal:  J Phys Condens Matter        ISSN: 0953-8984            Impact factor:   2.333


  1 in total

1.  Designing DNA-grafted particles that self-assemble into desired crystalline structures using the genetic algorithm.

Authors:  Babji Srinivasan; Thi Vo; Yugang Zhang; Oleg Gang; Sanat Kumar; Venkat Venkatasubramanian
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-28       Impact factor: 11.205

  1 in total

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