ArticleScience advances2024
Direct electromagnetic information processing with planar diffractive neural network.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Microwave diffractive neural network chips for sensing and computing.Science advances · 2026Article
- Trivial-nontrivial programmable topological metasurfaces for sensing and communication.Light, science & applications · 2026Article
- Music recognition based on diffractive neural networks.iScience · 2026Article
- Diffractive Optical Neural Networks: Pathways Toward Intelligent and Scalable Photonic Computing.Nanophotonics (Berlin, Germany) · 2026Review
- Multifunctional movable-type coding metasurface enabling reconfigurable diffractive neural networks.Light, science & applications · 2026Article
- Piezoelectric surface acoustic wave memristor neural network.Science advances · 2026Article
- Scalable photonic reservoir computing for parallel machine learning tasks.Nature communications · 2025Article
- Multilayer nonlinear diffraction neural networks with programmable and fast ReLU activation function.Nature communications · 2025Article
- All-Dielectric Metalenses for Long-Wavelength Infrared Imaging Applications: A Review.Sensors (Basel, Switzerland) · 2025Review
- Synthesising a Fixed-Length Equispaced Linear Array to Produce Dolph-Chebyshev Patterns with Deep Nulls, a Desired Side Lobe Level and Different Beamwidths.Sensors (Basel, Switzerland) · 2025Article
- A guidance to intelligent metamaterials and metamaterials intelligence.Nature communications · 2025Review
- Self-Organizing and Routing Approach for Condition Monitoring of Railway Tunnels Based on Linear Wireless Sensor Network.Sensors (Basel, Switzerland) · 2024Article
- Deep Reinforcement Learning with Local Attention for Single Agile Optical Satellite Scheduling Problem.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffractive neural network in electromagnetic wave-driven system has attracted great attention due to its ultrahigh parallel computing capability and energy efficiency. However, recent neural networks based on the diffractive framework still face the bottlenecks of misalignment and relatively large size limiting their further applications. Here, we propose a planar diffractive neural network (pla-NN) with a highly integrated and conformal architecture to achieve direct signal processing in the microwave frequency. On the basis of printed circuit fabrication process, the misalignment could be effectively circumvented while enabling flexible extension for multiple conformal and stacking designs. We first conduct validation on the fashion-MNIST dataset and experimentally build up a system using the proposed network architecture for direct recognition of different geometry structures in the electromagnetic space. We envision that the presented architecture, once combined with the advanced dynamic maneuvering techniques and flexible topology, would exhibit unlimited potentials in the areas of high-performance computing, wireless sensing, and flexible wearable electronics.
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Registered trials
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.