ArticleNature communications2025
Frequency transfer and inverse design for metasurface under multi-physics coupling by Euler latent dynamic and data-analytical regularizations.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Q-LEAP: Millisecond Hyperdimensional Optimization for Full-Spectrum Optical Metamaterials.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Cauchyformer: Few-Shot Spectrum Inference for Photonic Metasurfaces via Mixture of Cauchy.ACS omega · 2026Article
- STARE: a semiconductor-integrated transmit-array architecture for 6G beamforming.Nature communications · 2026Article
- Learning to reverse thermal diffusion.National science review · 2026Article
- Near real-time full-wave inverse design of electromagnetic devices.Nature communications · 2026Article
- Metasurface Vision Transformer: A Generic AI Model for Metasurface Inverse Design.Nanophotonics (Berlin, Germany) · 2026Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Frequency transfer is a key challenge in machine learning as it allows researchers to go beyond in-range analyses of spectrum properties towards out-of-the-range predictions. Traditionally, to predict properties at a specific frequency, targeted spectrum is included in training data for a deep neural network (DNN). However, due to limitations of measurement or computation source, training data at some frequencies are hardly accessible, especially for multi-physics problems. In this work, we propose a multi-physics deep learning framework (MDLF) consisting of a multi-fidelity DeepONet, a Euler latent dynamic network, and a data-analytical inversion network. Without the knowledge about multi-physics response, MDLF is successfully generalized to unseen frequency bands for both parametric and free-form metasurface by dynamically utilizing a Euler latent space and single-physics information. Moreover, an inversion method is introduced to incorporate hybrid a priori in inverse design of metasurface. Under EM-thermal coupling, we verify the proposed MDLF numerically and experimentally.
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Registered trials
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