Breaking the Trade‐Off Between Complexity and Absorbing Performance in Metamaterials Through Intelligent Design

Spectrally selective absorbers garner significant attention across diverse domains owing to their pivotal roles in electromagnetic stealth technologies, solar-thermal photovoltaics, and related applications. However, enhancing the absorption properties frequently necessitates the augmentation of the metamaterial patterned layer complexity. This introduces a paradox in application, where the increased intricacy of structural patterning adversely intersects with fabrication processes, thereby exacerbating the practical applicability challenges due to manufacturing constraints. Therefore, this study leverages a design methodology that combines artificial intelligence (AI) with finite element simulation. This…

• NN
  National Natural Science Foundation of China

  Awards: 52003039, 52272078
• FR
  Fundamental Research Funds for the Central Universities

  Awards: 2125018, 2109001