598651 Molecular Dynamics Simulations for Triblock Oligomers with 1-Nm Self-Assembled Domains

Monday, November 16, 2020
Thermodynamics and Transport Properties (01A) (PreRecorded+)
Zhengyuan Shen, Department of Chemical Engineering and Material Science, University of Minnesota, Minneapolis, MN, Jingyi Chen, Department of Chemistry and Chemical Theory Center, University of Minnesota, Minneapolis, MN, Viktoriia Vernadskaia, Laboratory of Solution Chemistry of Advanced Materials and Technologies, ITMO University, Saint Petersburg, Russian Federation, Timothy P. Lodge, Department of Chemical Engineering and Materials Science and Department of Chemistry, University of Minnesota, Minneapolis, MN and J. Ilja Siepmann, Department of Chemistry and Chemical Theory Center, University of Minnesota, Twin Cities, Minneapolis, MN

Self-assembly of block polymers that contain chemically distinct segments can form a wide variety of nanostructures with sub-10 nm feature sizes, for applications ranging from templates for nanopatterning to ion transport membranes for batteries. However, reducing the self-assembled feature size below 5 nm can be challenging. Miniaturization of the feature sizes can be achieved by block oligomers or block molecules with rigid-flexible motifs and short-range intermolecular interactions. In this study, we used molecular dynamics simulation to investigate the solvent-free phase behavior of a series of triblock oligomers composed of polyalcohol and hydrocarbon blocks. Depending on the molecular architectures, they exhibit thermotropic liquid crystallinity and self-assemble into ordered nanostructures include lamellae, perforated lamellae, and hexagonally-perforated lamellae with periodic domain pitches as small as 1.2 nm. Above the order-disorder transition temperature, the long-range order of these structures is lost while the local segregation is still preserved. Cluster analysis of the hydrogen-bonded and the nonpolar networks reveals the bicontinuous nature of the observed disordered structures, with even smaller characteristic dimensions as compared to their ordered states. The detailed molecular-level insights provided by simulation facilitates the understanding of structure-property relationships for the formation of mesophases on the 1-nm length scale.

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See more of this Session: Computational Studies of Self-Assembly
See more of this Group/Topical: Engineering Sciences and Fundamentals