The computational efficiency of the finite-difference time-domain (FDTD) method can be significantly reduced by the presence of complex objects with fine features. Small geometrical details impose a fine mesh and a reduced time step, significantly increasing computational cost. Model order reduction has been proposed as a systematic way to generate compact models for complex objects, by which one can then instantiate into a main FDTD mesh. However, the stability of FDTD with embedded reduced models remains an open problem. We propose a systematic method to generate reduced models for FDTD domains, and embed them into a main FDTD mesh with guaranteed stability up to the Courant-Friedrichs-Lewy (CFL) limit of the fine mesh. With a simple perturbation technique, the CFL of the whole scheme can be further extended beyond the fine grid's CFL limit. Reduced models can be created for arbitrary domains containing inhomogeneous and lossy materials. Numerical tests confirm the stability of the proposed method and its potential to accelerate multiscale FDTD simulations.

+More

model order reduction small geometrical details courantfriedrichslewy cfl limit embedded reduced models systematic method time computational efficiency finitedifference timedomain fdtd method inhomogeneous and lossy multiscale fdtd simulations main fdtd mesh complex objects

Xinyue Zhang,.A Stable FDTD Method With Embedded Reduced-Order Models. 66 (2),827-837.

Xinyue Zhang,"A Stable FDTD Method With Embedded Reduced-Order Models" 66

Xinyue Zhang,"A Stable FDTD Method With Embedded Reduced-Order Models"