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Advanced beam sha** for laser materials processing based on diffractive neural networks
P Buske, A Völl, M Eisebitt, J Stollenwerk, C Holly - Optics express, 2022 - opg.optica.org
We propose a method based on neural network training algorithms for the design of
diffractive neural networks-with the aim to perform advanced laser beam sha** in the …
diffractive neural networks-with the aim to perform advanced laser beam sha** in the …
Neural network-based design of two-focal-spot terahertz diffractive optical elements
P Komorowski, M Kurowska, M Kaluza… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article presents a convolutional neural network approach for the design and
optimization of single-input-multiple-output (SIMO) structures for the sub-terahertz spectral …
optimization of single-input-multiple-output (SIMO) structures for the sub-terahertz spectral …
Fault tolerance and noise immunity in freespace diffractive optical neural networks
Free-space diffractive optical networks are a class of trainable optical media that are
currently being explored as a novel hardware platform for neural engines. The training …
currently being explored as a novel hardware platform for neural engines. The training …
Digital electronic neural networks with analog nanophotonic frontends: a numerical study
RS Hegde - Nanophotonics and Micro/Nano Optics VI, 2020 - spiedigitallibrary.org
There is recent interest in integrating optics into neural computing systems considering the
potential energy savings and speed enhancements. Optical neural networks relying on free …
potential energy savings and speed enhancements. Optical neural networks relying on free …