Articles with "diffractive deep" as a keyword



Recomposable Layered Metasurfaces for Wavelength‐Multiplexed Optical Encryption via Modular Diffractive Deep Neural Networks

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Published in 2025 at "Advanced Functional Materials"

DOI: 10.1002/adfm.202523309

Abstract: Metasurfaces, composed of arrays of subwavelength scale meta‐atoms, enable precise control of light, paving the way for advanced holographic functionalities in compact, planar devices. Here, a modular diffractive deep neural network (MD 2 NN) architecture… read more here.

Keywords: diffractive deep; optical encryption; recomposable layered; deep neural ... See more keywords

Implementation of Large Field-of-View Detection for UWOC Systems Based on a Diffractive Deep Neural Network

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Published in 2023 at "IEEE Photonics Journal"

DOI: 10.1109/jphot.2023.3273772

Abstract: The link alignment in underwater wireless optical communication (UWOC) systems is a knotty problem. The diffractive deep neural network (D2NN) has shown great potential in accomplishing tasks all optically these years. In this paper, a… read more here.

Keywords: uwoc systems; neural network; diffractive deep; deep neural ... See more keywords

Efficient Design Optimization for Diffractive Deep Neural Networks

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Published in 2025 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2024.3432632

Abstract: Since diffractive deep neural network (D2NN) provides a full optical solution to implement deep neural networks (DNNs), it offers ultrafast operation speed and virtually unlimited bandwidth, yielding an alternative-yet-competitive approach for computer-based neural networks. A… read more here.

Keywords: diffractive deep; efficient design; deep neural; neural networks ... See more keywords

Diffractive deep neural network adjoint assist or (DNA)2: a fast and efficient nonlinear diffractive neural network implementation.

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Published in 2022 at "Optics express"

DOI: 10.1364/oe.449415

Abstract: The recent advent of diffractive deep neural networks or D2NNs has opened new avenues for the design and optimization of multi-functional optical materials; despite the effectiveness of the D2NN approach, there is a need for… read more here.

Keywords: neural network; network; adjoint; diffractive deep ... See more keywords

Magneto-optical diffractive deep neural network.

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Published in 2022 at "Optics express"

DOI: 10.1364/oe.470513

Abstract: We propose a magneto-optical diffractive deep neural network (MO-D2NN). We simulated several MO-D2NNs, each of which consists of five hidden layers made of a magnetic material that contains 100 × 100 magnetic domains with a… read more here.

Keywords: neural network; magneto optical; diffractive deep; deep neural ... See more keywords

Nonlinear Fourier transform receiver based on a time domain diffractive deep neural network.

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Published in 2022 at "Optics express"

DOI: 10.1364/oe.473373

Abstract: A diffractive deep neural network (D2NN) is proposed to distinguish the inverse nonlinear Fourier transform (INFT) symbols. Different from other recently proposed D2NNs, the D2NN is fiber based, and it is in the time domain… read more here.

Keywords: time; based time; diffractive deep; deep neural ... See more keywords
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Spatiotemporal diffractive deep neural networks.

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Published in 2024 at "Optics express"

DOI: 10.1364/oe.494999

Abstract: A spatiotemporal diffractive deep neural network (STD2NN) is proposed for spatiotemporal signal processing. The STD2NN is formed by gratings, which convert the signal from the frequency domain to the spatial domain, and multiple layers consisting… read more here.

Keywords: diffractive deep; deep neural; neural networks; spatiotemporal diffractive ... See more keywords
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Recurrent diffractive deep neural networks.

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Published in 2024 at "Optics express"

DOI: 10.1364/oe.544350

Abstract: What we believe is a novel recurrent diffractive deep neural network (RD2NN) is proposed for image time division multiplexing and frequency division multiplexing. The RD2NN is formed by a diffractive deep neural network (D2NN) with… read more here.

Keywords: diffractive deep; time; deep neural; division ... See more keywords

All-optical color image encryption using multimode fiber speckles and diffractive deep neural networks.

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Published in 2025 at "Optics express"

DOI: 10.1364/oe.571745

Abstract: To enable high-speed and secure color image transmission without the computational burden of deep learning, we present an all-optical encryption system that integrates spatial degree-of-freedom encoding of orbital angular momentum (OAM) beams, multimode fiber (MMF)… read more here.

Keywords: diffractive deep; color image; encryption; color ... See more keywords

Orthogonality of diffractive deep neural network.

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Published in 2022 at "Optics letters"

DOI: 10.1364/ol.449899

Abstract: Some rules of the diffractive deep neural network (D2NN) are discovered. They reveal that the inner product of any two optical fields in D2NN is invariant and the D2NN acts as a unitary transformation for… read more here.

Keywords: deep neural; diffractive deep; d2nn; neural network ... See more keywords
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Optical random micro-phase-shift DropConnect in a diffractive deep neural network.

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Published in 2022 at "Optics letters"

DOI: 10.1364/ol.454235

Abstract: The formulation and training of unitary neural networks is the basis of an active modulation diffractive deep neural network. In this Letter, an optical random phase DropConnect is implemented on an optical weight to manipulate… read more here.

Keywords: random micro; diffractive deep; micro phase; phase shift ... See more keywords