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Optimization of metamaterials and metamaterial-microcavity based on deep neural networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/adma.201200674openalex-snapshot
Metamaterial Electromagnetic Wave Absorbers
inferredcites →https://doi.org/10.1002/adma.201806672openalex-snapshot
Self‐Sacrificial Template‐Directed Vapor‐Phase Growth of MOF Assemblies and Surface Vulcanization for Efficient Water Splitting
inferredcites →https://doi.org/10.1016/j.optcom.2021.127423openalex-snapshot
Dynamically switchable dual-band absorber based on electromagnetically induced reflection in metal-graphene hybrid metamaterial
inferredcites →https://doi.org/10.1021/acs.nanolett.9b01857openalex-snapshot
Global Optimization of Dielectric Metasurfaces Using a Physics-Driven Neural Network
inferredcites →https://doi.org/10.1021/acsami.9b05857openalex-snapshot
Simultaneous Inverse Design of Materials and Structures via Deep Learning: Demonstration of Dipole Resonance Engineering Using Core–Shell Nanoparticles
inferredcites →https://doi.org/10.1021/acsomega.1c02165openalex-snapshot
Comparison of Different Neural Network Architectures for Plasmonic Inverse Design
inferredcites →https://doi.org/10.1021/acsphotonics.7b01377openalex-snapshot
Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures
inferredcites →https://doi.org/10.1021/nl200791ropenalex-snapshot
Reconfigurable Photonic Metamaterials
inferredcites →https://doi.org/10.1021/nl902621dopenalex-snapshot
Planar Metamaterial Analogue of Electromagnetically Induced Transparency for Plasmonic Sensing
inferredcites →https://doi.org/10.1038/nature05343openalex-snapshot
Active terahertz metamaterial devices
inferredcites →https://doi.org/10.1038/nature07247openalex-snapshot
Three-dimensional optical metamaterial with a negative refractive index
inferredcites →https://doi.org/10.1038/ncomms1058openalex-snapshot
Plasmonic nanoresonators for high-resolution colour filtering and spectral imaging
inferredcites →https://doi.org/10.1038/nmat2495openalex-snapshot
Plasmonic analogue of electromagnetically induced transparency at the Drude damping limit
inferredcites →https://doi.org/10.1038/nmat2546openalex-snapshot
Plasmonic nanorod metamaterials for biosensing
inferredcites →https://doi.org/10.1038/nmat3161openalex-snapshot
Fano-resonant asymmetric metamaterials for ultrasensitive spectroscopy and identification of molecular monolayers
inferredcites →https://doi.org/10.1038/nmat3839openalex-snapshot
Flat optics with designer metasurfaces
inferredcites →https://doi.org/10.1038/nphoton.2011.154openalex-snapshot
Past achievements and future challenges in the development of three-dimensional photonic metamaterials
inferredcites →https://doi.org/10.1038/nphoton.2015.247openalex-snapshot
Optically reconfigurable metasurfaces and photonic devices based on phase change materials
inferredcites →https://doi.org/10.1038/s41598-018-37952-2openalex-snapshot
Deep Neural Network Inverse Design of Integrated Photonic Power Splitters
inferredcites →https://doi.org/10.1038/srep37109openalex-snapshot
Metadevice for intensity modulation with sub-wavelength spatial resolution
inferredcites →https://doi.org/10.1039/c8nr01728jopenalex-snapshot
A refractory metamaterial absorber for ultra-broadband, omnidirectional and polarization-independent absorption in the UV-NIR spectrum
inferredcites →https://doi.org/10.1039/c9nr01315fopenalex-snapshot
Smart inverse design of graphene-based photonic metamaterials by an adaptive artificial neural network
inferredcites →https://doi.org/10.1063/1.2741148openalex-snapshot
Scattering of electromagnetic waves in metamaterial superlattices
inferredcites →https://doi.org/10.1063/1.5033327openalex-snapshot
Neural network based design of metagratings
inferredcites →https://doi.org/10.1063/1.5036966openalex-snapshot
Optical addressing of nanomechanical metamaterials with subwavelength resolution
inferredcites →https://doi.org/10.1063/5.0081849openalex-snapshot
Non-contact optical magnetic field sensor based on metamaterial nanomechanics
inferredcites →https://doi.org/10.1103/physrevb.86.075138openalex-snapshot
Asymmetric transmission in planar chiral split-ring metamaterials: Microscopic Lorentz-theory approach
inferredcites →https://doi.org/10.1103/physreve.68.065602openalex-snapshot
Resonant and antiresonant frequency dependence of the effective parameters of metamaterials
inferredcites →https://doi.org/10.1103/physrevlett.100.207402openalex-snapshot
Perfect Metamaterial Absorber
inferredcites →https://doi.org/10.1109/jphot.2009.2026288openalex-snapshot
Metamaterials in the Terahertz Regime
inferredcites →https://doi.org/10.1109/jphot.2021.3072415openalex-snapshot
A Tunable Dual-Band Metamaterial Filter Based on the Coupling Between Two Crossed SRRs
inferredcites →https://doi.org/10.1109/map.2012.6230714openalex-snapshot
An Overview of the Theory and Applications of Metasurfaces: The Two-Dimensional Equivalents of Metamaterials
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.1058847openalex-snapshot
Experimental Verification of a Negative Index of Refraction
inferredcites →https://doi.org/10.1126/science.1133628openalex-snapshot
Metamaterial Electromagnetic Cloak at Microwave Frequencies
inferredcites →https://doi.org/10.1364/oe.14.008247openalex-snapshot
Optical Hyperlens: Far-field imaging beyond the diffraction limit
inferredcites →https://doi.org/10.1364/oe.446442openalex-snapshot
Deep learning assisted design of high reflectivity metamirrors
inferredcites →https://doi.org/10.1364/prj.433335openalex-snapshot
Floating terahertz metamaterials with extremely large refractive index sensitivities
inferredcites →https://doi.org/10.1515/nanoph-2020-0376openalex-snapshot
Machine learning–assisted global optimization of photonic devices
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/advs.202401951openalex-snapshot
Inverse Design of Photonic Surfaces via High throughput Femtosecond Laser Processing and Tandem Neural Networks
inferred← citeshttps://doi.org/10.1002/aidi.202500084openalex-snapshot
Deep Learning‐Assisted Design of Mechanical Metamaterials
inferred← citeshttps://doi.org/10.1007/s11468-024-02371-9openalex-snapshot
Optimization of Broadband Solar Metamaterial Absorber Based on Deep Neural Network
inferred← citeshttps://doi.org/10.1007/s11468-025-03219-6openalex-snapshot
Geometric Parameter Prediction with Color Reproduction of Silicon in Reverse Design and Measurement
inferred← citeshttps://doi.org/10.1016/j.cjph.2025.10.019openalex-snapshot
Intelligent design of terahertz metamaterial sensors via equivalent circuit dimensionality reduction and multi-objective optimization
inferred← citeshttps://doi.org/10.1016/j.ijmecsci.2025.110203openalex-snapshot
Graph-based design of irregular metamaterials
inferred← citeshttps://doi.org/10.1016/j.optcom.2024.130384openalex-snapshot
Deep-learning-based inverse design of colloidal quantum dots
inferred← citeshttps://doi.org/10.1016/j.optcom.2024.130561openalex-snapshot
Optimization of tunable terahertz metamaterial absorber based on deep learning method
inferred← citeshttps://doi.org/10.1016/j.optcom.2025.132171openalex-snapshot
Design and performance study of a full-bandwidth mid-wave infrared metasurface absorber based on deep learning optimization
inferred← citeshttps://doi.org/10.1016/j.sna.2026.118216openalex-snapshot
Specific pesticide residues detection via HIT-based terahertz sensor and deep learning-optimized design
inferred← citeshttps://doi.org/10.1016/j.yofte.2024.104018openalex-snapshot
Elucidating microbubble structure behavior with a Shapley Additive Explanations neural network algorithm
inferred← citeshttps://doi.org/10.1021/acs.nanolett.3c03416openalex-snapshot
High-Resolution Metalens Imaging with Sequential Artificial Intelligence Models
inferred← citeshttps://doi.org/10.1038/s41524-025-01518-4openalex-snapshot
Inverse design of photonic surfaces via multi fidelity ensemble framework and femtosecond laser processing
inferred← citeshttps://doi.org/10.1051/epjam/2025006openalex-snapshot
AI-driven approaches in electromagnetic metamaterials design and application: a review
inferred← citeshttps://doi.org/10.1177/09540083251313522openalex-snapshot
Application of machine learning in polyimide structure design and property regulation
inferred← citeshttps://doi.org/10.1186/s43074-024-00138-3openalex-snapshot
Optical steelyard: high-resolution and wide-range refractive index sensing by synergizing Fabry–Perot interferometer with metafibers
inferred← citeshttps://doi.org/10.1364/oe.483550openalex-snapshot
Levitating the noise performance of ultra-stable laser cavities assisted by a deep neural network: the non-intuitive role of the mirrors
inferred← citeshttps://doi.org/10.3390/ma19132766openalex-snapshot
A Review of Machine Learning Applications in Mechanical Metamaterial Design
inferred← citeshttps://doi.org/10.3390/photonics11040292openalex-snapshot
Design and Optimization of Silver Nanostructured Arrays in Plasmonic Metamaterials for Sensitive Imaging Applications
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