ReviewNature communications2025
A guidance to intelligent metamaterials and metamaterials intelligence.
Review in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed.
- Q-LEAP: Millisecond Hyperdimensional Optimization for Full-Spectrum Optical Metamaterials.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Recent Progress on Dynamically Tunable Multispectral Stealth Materials.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Parallel nonlinear neuromorphic computing with temporal encoding.Science advances · 2026Article
- Near-Infrared Plasmonic Characteristics of Sputter-Deposited Nanocomposite Coatings formed by Indium Tin Oxide Nanoparticles in a SiOACS omega · 2026Article
- Large-scale data-driven inverse EM design based on metacircuit-embedded surface.Nature communications · 2026Article
- Creation of a computational space with model-free metasurface neural network.Nature communications · 2026Article
- Modeling the interpretable geometric-performance relationship of metamaterials on small datasets using Kolmogorov-Arnold operator informed network.Scientific reports · 2026Article
- Deep learning-enabled temporal sequencing of metasurface for rewritable and customizable electromagnetic illusions.National science review · 2026Article
- Artificial Intelligence-Driven Metasurfaces Spanning Multidimensional Light Field Control and Free Space Computing.Micromachines · 2026Review
- Toward Intelligent Sensing Systems: Non-Equilibrium Materials as Platforms for AI-Enabled Autonomous Discovery.Sensors (Basel, Switzerland) · 2026Article
- Programmable calculus operations in electromagnetic space using space-time-coding metasurface.National science review · 2026Article
- Article
- Tailor-made metasurfaces for scattering control.Scientific reports · 2026Article
- Disordered mosaic metasurfaces with scalable functional density.Nature communications · 2026Article
- Embodying physical computing into soft robots.Nature communications · 2026Review
- Scalable Self-Sensing Mechanical Metamaterials by Conformal Coating of 3D-Printed Lattices with Nanocomposites.Sensors (Basel, Switzerland) · 2026Article
- Protocol-Agnostic Meta Key Distribution for Encrypted Wireless Communications Enabled by Space-Time-Coding Metasurface.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Tunable Chiral Terahertz Wave Absorption and Beam Manipulation Based on Vanadium Dioxide Metasurfaces.Nanomaterials (Basel, Switzerland) · 2026Article
- Intelligent Metasurface Cloak Reaches a New Plateau: AI-Assisted Surface Engineering for Self-Adaptive Supportive Invisibility.Research (Washington, D.C.) · 2026Article
- AI-Enabled Flexible Sensing Skin for Next-Generation Aircraft: Toward Embodied Intelligence.Research (Washington, D.C.) · 2026Review
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
The bidirectional interactions between metamaterials and artificial intelligence have recently attracted immense interest to motivate scientists to revisit respective communities, giving rise to the proliferation of intelligent metamaterials and metamaterials intelligence. Owning to the strong nonlinear fitting and generalization ability, artificial intelligence is poised to serve as a materials-savvy surrogate electromagnetic simulator and a high-speed computing nucleus that drives numerous self-driving metamaterial applications, such as invisibility cloak, imaging, detection, and wireless communication. In turn, metamaterials create a versatile electromagnetic manipulator for wave-based analogue computing to be complementary with conventional electronic computing. In this Review, we stand from a unified perspective to review the recent advancements in these two nascent fields. For intelligent metamaterials, we discuss how artificial intelligence, exemplified by deep learning, streamline the photonic design, foster independent working manner, and unearth latent physics. For metamaterials intelligence, we particularly unfold three canonical categories, i.e., wave-based neural network, mathematical operation, and logic operation, all of which directly execute computation, detection, and inference task in physical space. Finally, future challenges and perspectives are pinpointed, including data curation, knowledge migration, and imminent practice-oriented issues, with a great vision of ushering in the free management of entire electromagnetic space.
Identifiers
What OpenQuestion holds
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.