A multiscale continuous Galerkin method for stochastic simulation and robust design of photonic crystals
We present a multiscale continuous Galerkin (MSCG) method for the fast and accurate stochastic simulation and optimization of time-harmonic wave propagation through photonic crystals. The MSCG method exploits repeated patterns in the geometry to drastically decrease computational cost and incorporat...
Main Authors: | Vidal-Codina, Ferran, Saà-Seoane, J., Nguyen, N.-C., Peraire, Jaime |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
Format: | Article |
Language: | English |
Published: |
Elsevier BV
2020
|
Online Access: | https://hdl.handle.net/1721.1/126109 |
Similar Items
-
A hybridizable discontinuous Galerkin method for computing nonlocal electromagnetic effects in three-dimensional metallic nanostructures
by: Vidal-Codina, Ferran, et al.
Published: (2020) -
Fabrication-Adaptive Optimization, with an Application to Photonic Crystal Design
by: Men, Han, et al.
Published: (2013) -
Fabrication-Adaptive Optimization with an Application to Photonic Crystal Design
by: Men, Han, et al.
Published: (2017) -
A model and variance reduction method for computing statistical outputs of stochastic elliptic partial differential equations
by: Giles, M.B., et al.
Published: (2017) -
An Empirical Interpolation and Model-Variance Reduction Method for Computing Statistical Outputs of Parametrized Stochastic Partial Differential Equations
by: Giles, M. B., et al.
Published: (2018)