Diffractive neural networks built from spatial light modulators for laser beam shaping in the NIR and VIS
Paul Buske, Annika Voll, Jochen Stollenwerk, Carlo Holly · 2023
Diffractive neural networks enable robust three-dimensional beam shaping by treating systems of cascading diffractive optical elements as artificial neural networks, enabling the usage of neural network training methods for the design. Here, we demonstrate how this can be used to create intensity distributions with a large depth-of-field in an experimental realization through spatial light modulators.