Unknown

Dataset Information

Multifaceted design optimization for superomniphobic surfaces.


ABSTRACT: Superomniphobic textures are at the frontier of surface design for vast arrays of applications. Despite recent substantial advances in fabrication methods for reentrant and doubly reentrant microstructures, design optimization remains a major challenge. We overcome this in two stages. First, we develop readily generalizable computational methods to systematically survey three key wetting properties: contact angle hysteresis, critical pressure, and minimum energy wetting barrier. For each, we uncover multiple competing mechanisms, leading to the development of quantitative models and correction of inaccurate assumptions in prevailing models. Second, we combine these analyses simultaneously, demonstrating the power of this strategy by optimizing structures that are designed to overcome chall

SUBMITTER: Panter JR 

PROVIDER: S-EPMC6719413 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature