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Computing stable configurations of confined smectic liquid crystals with a deep variational framework

arXiv · AI, language, vision and robotics · article · Sep 3, 2026 · UTC

Smectic liquid crystals are layered liquid-crystalline phases characterized by orientational order and periodic density modulation. Although their structures can be modeled using continuum theories, computing stable configurations remains challenging in complex geometries, particularly when the high-frequency density modulations associated with smectic layering should be resolved. We propose a deep variational framework (DVF) for computing these configurations within the modified Landau--de Gennes model, in which the coupled orientational and positional order parameters are represented on a re

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First collected: 2026-09-21T05:11:56.580Z. This is not the publication date.