|
Title
|
Inverse design of anisotropic and multi-resonant absorbers based on black phosphorus via residual neural network
|
|
Type
|
JournalPaper
|
|
Keywords
|
Black phosphorus, Metamaterials, The characteristic matrix method, The improved adaptive batch normalization.
|
|
Abstract
|
Black phosphorus (BP), a new type of two-dimensional material, has attracted extensive attention because of its excellent properties. The anisotropy of BP makes its physical properties vary greatly in different directions, which increases the complexity of the design of BP metamaterials. We present a residual neural network on the basis of the improved adaptive batch normalization algorithm to achieve the inverse design of a multilayer thin film structure based on BP, and we adopt the characteristic matrix method to obtain perfect optical absorption samples. The prediction accuracy of the neural network model is more than 95% for absorbing structures with both single and multiple resonances. This method has the advantages of a fast rate of convergence and high precision of prediction and achieves the design target on the basis of the structure of a BP metamaterial.
|
|
Researchers
|
Jinfeng Zhu (Not In First Six Researchers), Reza Abdi-Ghaleh (Not In First Six Researchers), Chengying Chen (Fifth Researcher), Yuanguo Zhou (Third Researcher), Yingshi Chen (Fourth Researcher), Kehao Feng (Second Researcher), Yijun Cai (First Researcher)
|