Rapid Exploration of Topological Band Structures using Deep Learning

Understand

The design of periodic nanostructures allows to tailor the transport of photons, phonons, and matter waves for specific applications.

• Recent years have seen a further expansion of this field by engineering topological properties.
• However, what is missing currently are efficient ways to rapidly explore and optimize band structures and to classify their topological characteristics, for arbitrary unit cell geometries.
• In this work, we show how deep learning can address this challenge.