Tunable metasurface inverse design for 80% switching efficiencies and 144$^\circ$ angular steering

TL;DR

This paper presents an inverse design approach for liquid crystal metasurfaces that achieves high switching efficiencies above 80% and angular steering up to 144°, significantly surpassing previous limitations.

Contribution

The authors develop a large-scale computational inverse design method to optimize tunable metasurfaces, enabling high-performance devices with large steering angles and efficiencies.

Findings

Achieved switching efficiencies above 80%.

Realized angular steering up to 144 degrees.

Improved performance by 6 times over previous state-of-the-art.

Abstract

Tunable metasurfaces have demonstrated the potential for dramatically enhanced functionality for applications including sensing, ranging and imaging. Liquid crystals (LCs) have fast switching speeds, low cost, and mature technological development, offering a versatile platform for electrical tunability. However, to date, electrically tunable metasurfaces are typically designed at a single operational state using physical intuition, without controlling alternate states and thus leading to limited switching efficiencies ($<30\%$) and small angular steering ($<$25$^\circ$). Here, we use large-scale computational 'inverse design' to discover high-performance designs through adjoint-based local-optimization design iterations within a global-optimization search. We study and explain the physics of these devices, which heavily rely on sophisticated resonator design to fully utilize the very small permittivity change incurred by switching the liquid-crystal voltage. The optimal devices show tunable steering angles ranging from 12$^\circ$ to 144$^\circ$ and switching efficiencies above 80%, exhibiting 6X angular improvements and 6X efficiency improvements compared to the current state-of-the-art.