Simulation-based design of high dimensional electromagnetic systems

Full-wave simulation and design of interconnect systems is becoming increasingly important in view of the continuing trend towards miniaturization and dense integration of components in electronic systems. While full-wave simulation methods have advanced rapidly over the last decade, there is a growing need for superior automated design tools. In this paper we first motivate the need for better design space exploration in high dimensions and outline the key ingredients that are imperative for the development of a successful simulation-based automated design tool. In this direction we describe the application of Orthogonal Arrays as an efficient sampling scheme and the Gaussian Process Regression as a promising model generation scheme for high dimensional design space exploration. We also describe an adaptive strategy for the model refinement and illustrate the same with a full-wave multi-conductor transmission line example. Finally we conclude by outlining the open problems and research challenges in this direction.