Fast, scalable, and interactive software for Landau-de Gennes numerical modeling of nematic topological defects
Daniel M. Sussman, Daniel A. Beller

TL;DR
This paper introduces an open-source, GPU-accelerated software for efficient Landau-de Gennes modeling of nematic liquid crystal defects, enabling large-scale simulations with a user-friendly interface.
Contribution
It presents a scalable, parallelized software combining CUDA/C++ and OpenMPI with an efficient minimization algorithm for large-scale nematic defect simulations.
Findings
Simulations scale up to supra-micron lengths relevant to experiments.
The software efficiently models defect configurations and interactions.
Parallelization significantly reduces computation time.
Abstract
Numerical modeling of nematic liquid crystals using the tensorial Landau-de Gennes (LdG) theory provides detailed insights into the structure and energetics of the enormous variety of possible topological defect configurations that may arise when the liquid crystal is in contact with colloidal inclusions or structured boundaries. However, these methods can be computationally expensive, making it challenging to predict (meta)stable configurations involving several colloidal particles, and they are often restricted to system sizes well below the experimental scale. Here we present an open-source software package that exploits the embarrassingly parallel structure of the lattice discretization of the LdG approach. Our implementation, combining CUDA/C++ and OpenMPI, allows users to accelerate simulations using both CPU and GPU resources in either single- or multiple-core configurations. We…
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