Deep Convolutional Mixture Density Network for Inverse Design of Layered Photonic Structures
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Machine learning (ML) techniques, such as neural networks, have emerged as powerful tools for the inverse design of nanophotonic structures. However, this innovative approach suffers some limitations. A primary one is the nonuniqueness problem, which can preve... ...
