ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023
Broadband Solar Metamaterial Absorbers Empowered by Transformer-Based Deep Learning.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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
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Who cites it
18 citing papers in PubMed.
- CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Engineering of Optoelectronic Devices for Renewable Energy Applications.Micromachines · 2026Review
- Chat to chip: large language model based design of arbitrarily shaped metasurfaces.Nanophotonics (Berlin, Germany) · 2025Article
- Enabling highly efficient infrared silicon photodetectors via disordered metasurfaces with upconversion nanoparticles.Science advances · 2025Article
- Metamaterial-Enhanced Solar-Driven Processes for Energy Conversion and Water Treatment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Minimizing Energy Demand in the Conversion of Levulinic Acid to γ‑Valerolactone via Photothermal Catalysis Using Raney Ni.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Optical multilayer thin film structure inverse design: From optimization to deep learning.iScience · 2025Review
- Chalcogenide Metasurfaces Enabling Ultra-Wideband Detectors From Visible to Mid-infrared.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Empowering nanophotonic applications via artificial intelligence: pathways, progress, and prospects.Nanophotonics (Berlin, Germany) · 2025Review
- Meta-Attention Deep Learning for Smart Development of Metasurface Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Novel design and implementation of 3d packaged wideband bandpass filters.Scientific reports · 2024Article
- AI-Based Metamaterial Design.ACS applied materials & interfaces · 2024Review
- Wide-incident-angle, polarization-independent broadband-absorption metastructure without external resistive elements by using a trapezoidal structure.Scientific reports · 2024Article
- Unleashing the potential: AI empowered advanced metasurface research.Nanophotonics (Berlin, Germany) · 2024Review
- Designing Metasurfaces for Efficient Solar Energy Conversion.ACS photonics · 2023Review
- Anisotropic honeycomb stack metamaterials of graphene for ultrawideband terahertz absorption.Nanophotonics (Berlin, Germany) · 2023Article
- Deep learning empowering design for selective solar absorber.Nanophotonics (Berlin, Germany) · 2023Article
- Broadband Solar Metamaterial Absorbers Empowered by Transformer-Based Deep Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The research of metamaterial shows great potential in the field of solar energy harvesting. In the past decade, the design of broadband solar metamaterial absorber (SMA) has attracted a surge of interest. The conventional design typically requires brute-force optimizations with a huge sampling space of structure parameters. Very recently, deep learning (DL) has provided a promising way in metamaterial design, but its application on SMA development is barely reported due to the complicated features of broadband spectrum. Here, this work develops the DL model based on metamaterial spectrum transformer (MST) for the powerful design of high-performance SMAs. The MST divides the optical spectrum of metamaterial into N patches, which overcomes the severe problem of overfitting in traditional DL and boosts the learning capability significantly. A flexible design tool based on free customer definition is developed to facilitate the real-time on-demand design of metamaterials with various optical functions. The scheme is applied to the design and fabrication of SMAs with graded-refractive-index nanostructures. They demonstrate the high average absorptance of 94% in a broad solar spectrum and exhibit exceptional advantages over many state-of-the-art counterparts. The outdoor testing implies the high-efficiency energy collection of about 1061 kW h m
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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.