Accelerated engineering of band gaps and topological interface states in one-dimensional metamaterials via deep learning

Key Points

• Enhanced band gaps and topological interface states can lead to advanced metamaterial applications.
• The technique employs deep learning algorithms to target specific material properties effectively.
• Experimental trials indicate strong correlations between deep learning predictions and observed phenomena.
• This approach may streamline future designs, potentially impacting fields like photonics and electronics.