Morphing for faster computations in transformation optics

TL;DR

This paper introduces a morphing-based method to approximate scattering wave patterns in transformation optics, significantly speeding up computations with minimal error for certain cloak shapes.

Contribution

It presents a novel use of morphing algorithms to efficiently estimate scattering in transformation optics, reducing computational time while maintaining high accuracy for specific geometries.

Findings

Error in L2 norm is less than 1% for well-chosen control points.

Method works well for rotators and concentrators, including a device called rotacon.

Breaks down for superscatterers with non-monotonic transforms, with about 25% error.

Abstract

We propose to use morphing algorithms to deduce some approximate wave pictures of scattering by cylindrical invisibility cloaks of various shapes deduced from the exact computation (e.g. using a finite element method) of scattering by cloaks of two given shapes, say circular and elliptic ones, thereafter called the source and destination images. The error in L2 norm between the exact and approximate solutions deduced via morphing from the source and destination images is typically less than 1 percent if control points are judiciously chosen. Our approach works equally well for rotators and concentrators, and also unveils some device which we call rotacon since it both rotates and concentrates electromagnetic fields. However, our approach is shown to break down for superscatterers (i.e. when the geometric transform underpinning the metamaterial is non-monotonic): In this case, the error in L2 norm is about 25 percent. We stress that our approach might greatly accelerate numerical studies of 2D and 3D cloaks (e.g. it takes less than 1 minute to deduce 50 images from the exact computations of the source and destination images with any morphing algorithm in 2D). The only price to pay is a human intervention since the accuracy of morphing highly depends upon control points.