Electrically Programmable Topological Defect Lattice in a Ferroelectric Nematic

ORAL

Abstract

The recently discovered ferroelectric nematic (NF) liquid crystal is a polar fluid phase exhibiting spontaneous polarization, leading to electrostatic interactions and unique phenomena absent in conventional non-polar nematics. Previous studies have reported spontaneous formation of square-lattice defect patterns in NF materials under AC electric fields without surface pre-patterning [1, 2]. These patterns are attributed the minimization of elastic and electrostatic energies associated with polarization deformation induced by the applied field, primarily through geometric cancellation of bound charges from splay distortion [1]. Recent work suggests that material viscosity plays a crucial role in determining the periodicity and stability of these defect lattices [2]. Motivated by this, we investigate how molecular structure and viscosity influence pattern formation across a library of newly synthesized ferroelectric nematic liquid crystals structurally similar to the well-known material RM734. These materials exhibit a broad range of phase transition temperatures (10°C to 68°C). Using polarized optical microscopy, we observe the formation of square-lattice defect structures and analyze the internal flow dynamics via particle image velocimetry. This study reveals how polarization, viscosity, and flow interact in ferroelectric nematics, providing insight into electrodynamic pattern formation in polar liquid crystals.

*We gratefully acknowledge support from the National Science Foundation (DMR-2104574, DMR-2104575, HRD-1547848, HRD-211675, and HRD-1820875) and the Center for Cellular and Biomolecular Machines at the University of California, Merced. This research was also supported by funds from the UC Multicampus Research Programs and Initiatives of the University of California (The UC Active Matter Hub).

Publication: 1. B. Basnet et al., Nat. Commun., 16, 1444 (2025)
2. N. Podoliak et al., Sof. Mat. (2025)

Presenters

  • DaYeon Lee

    • University of California, Merced

Authors

  • DaYeon Lee

    • University of California, Merced
  • Naila Tufaha

    • University of Aberdeen
  • Rebecca Walker

    • University of Aberdeen
  • Linda S. Hirst

    • University of California, Merced