Data Sheet 1_PARISO: pixelated antennas and reconfigurable intelligent surface optimizer.zip

Although technologies such as Massive Multiple Input Multiple Output (MIMO) and RIS offer unprecedented opportunities for enhanced coverage, improved spectral efficiency, and adaptive propagation environments, the corresponding electromagnetic structures often present extremely large and complex design spaces that require exhaustive exploration to achieve optimal performance.

As a result, achieving goals such as miniaturization, bandwidth enhancement, improved scattering characteristics, or precise phase control becomes a major focus when working with these complex spaces. In this paper, we introduce a systematic methodology for developing an optimization framework dedicated to planar electromagnetic structures using binary pixelization of the conducting surface. By discretizing the design region into a matrix of metallic and non-metallic pixels, the approach enables flexible topology manipulation while maintaining compatibility with full-wave simulation tools.