A Posteriori Error Estimators for the Frank-Oseen Model of Liquid Crystals
For researchers simulating liquid crystals, this provides a practical adaptive mesh refinement tool that improves efficiency without sacrificing accuracy.
This work derives a posteriori error estimators for the Frank-Oseen model of liquid crystals, enabling adaptive mesh refinement that reduces computational work while maintaining solution accuracy. The adaptive method achieves significant computational savings with competitive constraint conformance and free energy values compared to uniform refinement.
This paper derives a posteriori error estimators for the nonlinear first-order optimality conditions associated with the Frank-Oseen elastic free-energy model of nematic and cholesteric liquid crystals, where the required unit-length constraint is imposed via either a Lagrange multiplier or penalty method. Furthermore, theory establishing the reliability of the proposed error estimator for the penalty method is presented, yielding a concrete upper bound on the approximation error of discrete solutions. The error estimators herein are composed of readily computable quantities on each element of a finite-element mesh, allowing the formulation of an efficient adaptive mesh refinement strategy. Four elastic equilibrium problems are considered to examine the performance of the error estimators and corresponding adaptive mesh refinements against that of a simple uniform refinement scheme. The adapted grids successfully provide significant reductions in computational work while producing solutions that are highly competitive with those of uniform mesh in terms of constraint conformance and computed free energies.