Inverse Design of Multi-Layered Manufacturable Pixelated Diplexers Through Optimized Geometrical Configuration and Meshing Strategy in MoM
Woojun Lee, Jungmin Lee, Jeffrey S. Walling

TL;DR
This paper introduces a rapid inverse design framework for multilayered pixelated surfaces using an optimized MoM solver, matrix reconstruction, GPU acceleration, and a stochastic search, demonstrated on a GHz-range diplexer.
Contribution
The paper develops a novel, fast inverse design method for complex multilayered pixelated structures, combining matrix reconstruction, GPU acceleration, and stochastic algorithms.
Findings
Successfully designed a GHz-range diplexer with specified bandwidths.
Achieved significant speed-up in simulations through matrix reconstruction and GPU use.
Validated the design with a full-wave solver confirming performance.
Abstract
This paper presents a fast inverse design framework for complex multilayered, multiport pixelated surfaces - a class of structures largely unexplored in current research. Leveraging a method-of-moments (MoM) electromagnetic (EM) solver, the framework enables the rapid synthesis of pixelated device designs. A novel matrix reconstruction technique, based on pre-labeling matrix entries as "inter-pixel" or "inner-pixel," accelerates simulations for each variation of the pixelated structure. To mitigate the cubic increase in computation time associated with additional layers, GPU acceleration is employed. Further enhancing convergence speed, a stochastic multi-pixel flipping search algorithm is integrated into the framework. The effectiveness of this approach is demonstrated through the design of a diplexer achieving a -3-dB bandwidth for one channel spanning 5.23-5.94 GHz and another…
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