Energy stable model order reduction for the Allen-Cahn equation
For researchers in computational physics and model reduction, this work provides a method to maintain physical fidelity (energy stability) in reduced models, though it is an incremental extension of existing techniques (POD-greedy, DEIM) to a specific gradient system.
The authors develop a reduced order model for the Allen-Cahn equation that preserves the energy decreasing property of the full order model. Numerical results demonstrate computational efficiency and accuracy for parametrized cases with Neumann and periodic boundary conditions.
The Allen-Cahn equation is a gradient system, where the free-energy functional decreases monotonically in time. We develop an energy stable reduced order model (ROM) for a gradient system, which inherits the energy decreasing property of the full order model (FOM). For the space discretization we apply a discontinuous Galerkin (dG) method and for time discretization the energy stable average vector field (AVF) method. We construct ROMs with proper orthogonal decomposition (POD)-greedy adaptive sampling of the snapshots in time and evaluating the nonlinear function with greedy discrete empirical interpolation method (DEIM). The computational efficiency and accuracy of the reduced solutions are demonstrated numerically for the parametrized Allen-Cahn equation with Neumann and periodic boundary conditions.