Autonomous discovery of emergent morphologies in directed self-assembly of block copolymer blends.

ABSTRACT: The directed self-assembly (DSA) of block copolymers (BCPs) is a powerful approach to fabricate complex nanostructure arrays, but finding morphologies that emerge with changes in polymer architecture, composition, or assembly constraints remains daunting because of the increased dimensionality of the DSA design space. Here, we demonstrate machine-guided discovery of emergent morphologies from a cylinder/lamellae BCP blend directed by a chemical grating template, conducted without direct human intervention on a synchrotron x-ray scattering beamline. This approach maps the morphology-template phase space in a fraction of the time required by manual characterization and highlights regions deserving more detailed investigation. These studies reveal localized, template-directed partitioning of

SUBMITTER: Doerk GS 

PROVIDER: S-EPMC9839324 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature