Band separation and electric field prediction in square Bravais-Moiré photonic crystals

Abstract

In this study, we address three key challenges in photonic crystals: modeling of isolated flat bands, electric field prediction, and band separation in dispersion relations. Using twisted square Bravais lattices at specific angles, we create Bravais-Moiré photonic crystals exhibiting unique characteristics. These include band pairing and parallelism in certain Brillouin zones, enabling predictable electric field behavior and identification of isolated, flat band pairs within extensive band gaps. We apply advanced Shape theory-based classification methods for precise band separation, offering significant contributions to photonics research and light manipulation applications.

Keywords

• Bravais-Moiré
• Flat bands
• Electric field
• Riemannian distance
• Photonic crystal
• Machine learning