2021
DOI: 10.4302/plp.v13i4.1124
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Neural-network based approach to optimize THz computer generated holograms

Abstract: Terahertz (THz) optics often encounters the problem of small f number values (elements have relatively small diameters comparing to focal lengths). The need to redirect the THz beam out of the optical axis or form particular intensity distributions resulted in the application of iterative holographic methods to design THz diffractive elements. Elements working on-axis do not encounter significant improvement while using iterative holographic methods, however, for more complicated distributions the difference b… Show more

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Cited by 4 publications
(1 citation statement)
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“…In this work, we present SIMO structures that allow spatial multiplexing of incoming THz radiation, designed using an iterative algorithm and a neural network approach. The proposed NN-based optimization method was used for the first time in the research described in this paper and two previous works [24], [25]. It allowed for the design of unique structures with non-intuitive phase distributions, unattainable by other methods.…”
Section: Introductionmentioning
confidence: 99%
“…In this work, we present SIMO structures that allow spatial multiplexing of incoming THz radiation, designed using an iterative algorithm and a neural network approach. The proposed NN-based optimization method was used for the first time in the research described in this paper and two previous works [24], [25]. It allowed for the design of unique structures with non-intuitive phase distributions, unattainable by other methods.…”
Section: Introductionmentioning
confidence: 99%