ArticleLight, science & applications2019
Design of task-specific optical systems using broadband diffractive neural networks.
Article in Light, science & applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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Who cites it
55 citing papers in PubMed.
- Spatiotemporal all-optical diffractive neural networks empowered by spatiotemporal light field manipulation.Light, science & applications · 2026Article
- Artificial Intelligence-Driven Metasurfaces Spanning Multidimensional Light Field Control and Free Space Computing.Micromachines · 2026Review
- Diffractive Optical Neural Networks: Pathways Toward Intelligent and Scalable Photonic Computing.Nanophotonics (Berlin, Germany) · 2026Review
- High-clockrate free-space optical in-memory computing.Light, science & applications · 2026Article
- Anti-interference diffractive deep neural networks for multi-object recognition.Light, science & applications · 2026Article
- Multienergy x-ray imaging enabled by unipolar perovskite detector for intelligent substance identification.Science advances · 2026Article
- Automated HER2 Scoring with Uncertainty Quantification Using Lensfree Holography and Deep Learning.BME frontiers · 2026Article
- Ultra-wideband optical diffractive network for mode multiplexing across the entire telecommunication range.Nature communications · 2025Article
- Digital-analog hybrid matrix multiplication processor for optical neural networks.Nature communications · 2025Article
- Empowering nanophotonic applications via artificial intelligence: pathways, progress, and prospects.Nanophotonics (Berlin, Germany) · 2025Review
- Spectral convolutional neural network chip for in-sensor edge computing of incoherent natural light.Nature communications · 2025Article
- Metasurface-Based Image Classification Using Diffractive Deep Neural Network.Nanomaterials (Basel, Switzerland) · 2024Article
- Exploring the Impact of 3D Printing Parameters on the THz Optical Characteristics of COC Material.Materials (Basel, Switzerland) · 2024Article
- Optical neural networks: progress and challenges.Light, science & applications · 2024Review
- Opto-intelligence spectrometer using diffractive neural networks.Nanophotonics (Berlin, Germany) · 2024Article
- Nonlinear encoding in diffractive information processing using linear optical materials.Light, science & applications · 2024Article
- All-optical phase conjugation using diffractive wavefront processing.Nature communications · 2024Article
- All dielectric metasurface based diffractive neural networks for 1-bit adder.Nanophotonics (Berlin, Germany) · 2024Article
- Broadband nonlinear modulation of incoherent light using a transparent optoelectronic neuron array.Nature communications · 2024Article
- Diffractive optical computing in free space.Nature communications · 2024Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Deep learning has been transformative in many fields, motivating the emergence of various optical computing architectures. Diffractive optical network is a recently introduced optical computing framework that merges wave optics with deep-learning methods to design optical neural networks. Diffraction-based all-optical object recognition systems, designed through this framework and fabricated by 3D printing, have been reported to recognize hand-written digits and fashion products, demonstrating all-optical inference and generalization to sub-classes of data. These previous diffractive approaches employed monochromatic coherent light as the illumination source. Here, we report a broadband diffractive optical neural network design that simultaneously processes a continuum of wavelengths generated by a temporally incoherent broadband source to all-optically perform a specific task learned using deep learning. We experimentally validated the success of this broadband diffractive neural network architecture by designing, fabricating and testing seven different multi-layer, diffractive optical systems that transform the optical wavefront generated by a broadband THz pulse to realize (1) a series of tuneable, single-passband and dual-passband spectral filters and (2) spatially controlled wavelength de-multiplexing. Merging the native or engineered dispersion of various material systems with a deep-learning-based design strategy, broadband diffractive neural networks help us engineer the light-matter interaction in 3D, diverging from intuitive and analytical design methods to create task-specific optical components that can all-optically perform deterministic tasks or statistical inference for optical machine learning.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.