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Inverse design of metasurface optical filters using deep neural network with high degrees of freedom

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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pDeep: Predicting MS/MS Spectra of Peptides with Deep Learning
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Generative Model for the Inverse Design of Metasurfaces
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All-Dielectric Colored Metasurfaces with Silicon Mie Resonators
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Deep-Learning-Enabled On-Demand Design of Chiral Metamaterials
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Free-Form Diffractive Metagrating Design Based on Generative Adversarial Networks
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Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures
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A Deep Learning Approach for Objective-Driven All-Dielectric Metasurface Design
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A Broadband, Background-Free Quarter-Wave Plate Based on Plasmonic Metasurfaces
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Deep learning
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Machine learning phases of matter
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Plasmonic nanostructure design and characterization via Deep Learning
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High-efficiency, large-area, topology-optimized metasurfaces
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Inverse design in nanophotonics
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Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning
inferredcites →https://doi.org/10.1038/s41598-017-01939-2openalex-snapshot
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inferredcites →https://doi.org/10.1038/srep11045openalex-snapshot
Structural color printing based on plasmonic metasurfaces of perfect light absorption
inferredcites →https://doi.org/10.1038/srep20347openalex-snapshot
Metasurface Broadband Solar Absorber
inferredcites →https://doi.org/10.1038/srep21471openalex-snapshot
Deep Learning in Label-free Cell Classification
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1126/sciadv.aar4206openalex-snapshot
Nanophotonic particle simulation and inverse design using artificial neural networks
inferredcites →https://doi.org/10.1126/science.aaf6644openalex-snapshot
Metalenses at visible wavelengths: Diffraction-limited focusing and subwavelength resolution imaging
inferredcites →https://doi.org/10.1126/science.aam8100openalex-snapshot
Metalenses: Versatile multifunctional photonic components
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Arbitrary spin-to–orbital angular momentum conversion of light
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Adjoint Sensitivity Analysis for Differential-Algebraic Equations: The Adjoint DAE System and Its Numerical Solution
inferredcites →https://doi.org/10.1364/josaa.12.001068openalex-snapshot
Formulation for stable and efficient implementation of the rigorous coupled-wave analysis of binary gratings
inferredcites →https://doi.org/10.1364/josaa.12.001077openalex-snapshot
Stable implementation of the rigorous coupled-wave analysis for surface-relief gratings: enhanced transmittance matrix approach
inferredcites →https://doi.org/10.1364/oe.25.000191openalex-snapshot
Experimental realization of a terahertz all-dielectric metasurface absorber
inferredcites →https://doi.org/10.1364/oe.26.032704openalex-snapshot
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inferredcites →https://doi.org/10.1364/ol.41.005592openalex-snapshot
Broadband polarizers based on graphene metasurfaces
inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN(Generative Adversarial Nets)
inferredcites →https://doi.org/10.48550/arxiv.1511.06434openalex-snapshot
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1809.03555openalex-snapshot
Deep Neural Network Inverse Design of Integrated Nanophotonic Devices

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Applications of Metasurfaces for Modern Planar Antenna Design
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Multifunctional Metasurface Inverse Design Based on Ultra‐Wideband Spectrum Prediction Neural Network
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Physics‐Informed Machine Learning for Inverse Design of Optical Metamaterials
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Transfer Learning Empowered Multiple‐Indicator Optimization Design for Terahertz Quasi‐Bound State in the Continuum Biosensors
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Loss‐induced phase transition in mid‐infrared plasmonic metamaterials for ultrasensitive vibrational spectroscopy
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Optimization of Broadband Solar Metamaterial Absorber Based on Deep Neural Network
inferred← citeshttps://doi.org/10.1007/s40295-026-00638-3openalex-snapshot
Rapid Deployment, Calibration, and Training of Optical Observatories for Space Domain Awareness
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Mapping information and light: Trends of AI-enabled metaphotonics
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AI-empowered optical metasurfaces: From unit-cell optimization to system-level integration
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Low-loss phase change materials-based reprogrammable non-volatile 1 × 2 switch on integrated metasurfaces
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Dispersion relation prediction and structure inverse design of elastic metamaterials via deep learning
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An improved tandem neural network for the inverse design of nanophotonics devices
inferred← citeshttps://doi.org/10.1016/j.optcom.2024.130995openalex-snapshot
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On-demand design of strong unidirectional scattering dominated by electric resonances via transformer-based network
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A novel stepwise generative-discriminative reasoning framework for metasurface inverse design
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A miniaturized computational spectrometer with optimum number of nanophotonic filters: Deep-learning autoencoding and inverse design-based implementation
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Metasurfaces for sensing, imaging, and optical communication: Technological advances, applications, and future perspectives
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Advanced deep learning approaches in metasurface modeling and design: A review
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Generalizable Metamaterials Design Techniques Inspire Efficient Mycelial Materials Inverse Design
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Design of highly perceptible dual-resonance all-dielectric metasurface colorimetric sensor via deep neural networks
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Design of ultra-thin underwater acoustic metasurface for broadband low-frequency diffuse reflection by deep neural networks
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From performance to structure: a comprehensive survey of advanced metasurface design for next-generation imaging
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Machine learning-augmented surface-enhanced spectroscopy toward next-generation molecular diagnostics
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Data driven approaches in nanophotonics: a review of AI-enabled metadevices
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Deep learning-based design of broadband GHz complex and random metasurfaces
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Inverse design of electromagnetic metamaterials: from iterative to deep learning-based methods
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Generative adversarial neural network for 3D-hologram reconstruction
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Lower limits for the homogenization of periodic metamaterials made from electric dipolar scatterers
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Symmetry Enhanced Network Architecture Search for Complex Metasurface Design
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Rapid Inverse Design of High Degree of Freedom Meta-Atoms Based on the Image-Parameter Diffusion Model
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Refractive index sensing by a silicon metasurface
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Convolutional Neural Networks for Predicting Morphological and Nonlinear Optical Properties of Thin Films of Quasi-Two-Dimensional Materials
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Explainable Encoder–Prediction–Reconstruction Framework for the Prediction of Metasurface Absorption Spectra
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Metasurface-Based Image Classification Using Diffractive Deep Neural Network
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Advances in Deep Learning-Driven Metasurface Design and Application in Holographic Imaging
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Artificial intelligence-generated photonics: mapping optical properties to subwavelength structures directly via a diffusion model
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基于深度学习的电磁超材料设计研究进展(特邀)
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Deep learning-driven design of q-BIC metasurfaces for ultra-high saturation and ultra-wide color gamut structural colors
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人工智能与集成光子学的双向赋能循环(特邀)
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A Review on Metasurface and Metamaterials for Antenna Design
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Artificial intelligence empowered metasurface design
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