Diffractive neural networks built from spatial light modulators for laser beam shaping in the NIR and VIS

International Optical Design Conference, pp. 60

Abstract

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.

Authors 3

1. Paul Buske Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen Univ. (Germany)

2. Jochen Stollenwerk Aachen Fraunhofer-Institut für Lasertechnik ILT

   RWTH Aachen University · Fraunhofer Institute for Laser Technology

   Affiliation as printed

   Fraunhofer-Institut für Lasertechnik ILT (Germany)

   RWTH Aachen Univ. (Germany)

3. Carlo Holly Aachen Fraunhofer-Institut für Lasertechnik ILT

   RWTH Aachen University · Fraunhofer Institute for Laser Technology

   Affiliation as printed

   Fraunhofer-Institut für Lasertechnik ILT (Germany)

   RWTH Aachen Univ. (Germany)