FURI | Spring 2018

Computational Pathways to the Optimal Design of Polymer Processing Routes

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A comprehensive understanding of the influence of different processing parameters and how they influence morphological self-assembly is required to enable controllability in manufacturing block copolymers (BCP). The overarching vision of this FURI project is to decipher optimal polymer processing routes by combining the phase-field modeling technique with control theory. High-performance computing techniques will be leveraged to simulate the 3D morphological self-assembly in BCPs. A morphology map highlighting the areas of morphological transitions has been plotted based on preliminary 2D simulations. An extensive 3D parametric study is planned for the remaining duration of this project.

Student researcher

Portrait of Diaz, Timoteo

Timoteo Diaz

Materials science and engineering

Hometown: Mesa, Arizona

Graduation date: Spring 2018