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Optics Express • Vol 30 • No 25
Exploiting geometric biases in inverse nano-optical problems using artificial neural networks
November 2022 • Taavi Repän, Yannick Augenstein, Carsten Rockstuhl
Solving the inverse problem is a major challenge in contemporary nano-optics. However, frequently not just a possible solution needs to be found but rather the solution that accommodates constraints imposed by the problem at hand. To select the most plausible solution for a nano-optical inverse problem additional information can be used in general, but how to specifically formulate it frequently remains unclear. Here, while studying the reconstruction of the shape of an object using the electromagnetic field in it…
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