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Molecular heterogeneity drives reconfigurable nematic liquid crystal drops

With few exceptions, polydispersity or molecular heterogeneity in matter tends to impede self-assembly and state transformation(1–3). Here we report shape transition studies of nematic liquid crystal oligomer (NLCO) drops, which reveal, surprisingly, that molecular heterogeneity in the drops promote...

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Detalles Bibliográficos
Autores principales: Wei, Wei-Shao, Xia, Yu, Ettinger, Sophie, Yang, Shu, Yodh, A. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927531/
https://www.ncbi.nlm.nih.gov/pubmed/31853082
http://dx.doi.org/10.1038/s41586-019-1809-8
Descripción
Sumario:With few exceptions, polydispersity or molecular heterogeneity in matter tends to impede self-assembly and state transformation(1–3). Here we report shape transition studies of nematic liquid crystal oligomer (NLCO) drops, which reveal, surprisingly, that molecular heterogeneity in the drops promotes reversible transitions to a rich variety of non-spherical morphologies with unique internal structure. Previously, shape transitions of homogeneous liquid drops with monodisperse ingredients have been reported in equilibrium(4–7) and non-equilibrium studies(8, 9), with the latter producing filaments at active interfaces, albeit randomly without control. Our experiments employ equilibrium suspensions of drops composed of polydisperse NLCOs. Variation of oligomer chain length distribution, temperature, and surfactant concentration alters the balance between NLCO elastic energy and interfacial energy and drives formation of visually striking nematic structures ranging from roughened spheres to flowers to branched filamentous networks with controllable diameters. The branched structures with confined LC director fields can be produced reversibly over centimeter areas and converted into LC elastomers by UV curing. Remarkably, observations and modeling reveal that chain length polydispersity plays a crucial role in driving these morphogenic phenomena, via spatial segregation. This insight suggests new routes for encoding network structure and function in soft materials.