Transfer Learning Empowered Multiple‐Indicator Optimization Design for Terahertz Quasi‐Bound State in the Continuum Biosensors

Transfer Learning Empowered Multiple‐Indicator Optimization Design for Terahertz Quasi‐Bound State in the Continuum Biosensors

Abstract Terahertz metasurface biosensors based on the quasi‐bound state in the continuum (QBIC) offer label‐free, rapid, and ultrasensitive biomedical detection. Recent advances in deep learning facilitate efficient, fast, and customized design of such metasurfaces. However, prior approaches primar...

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Bibliographic Details
Main Authors: Shengfeng Wang, Bingwei Liu, Xu Wu, Zuanming Jin, Yiming Zhu, Linjie Zhang, Yan Peng
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:Advanced Science
Subjects:
inverse design
metasurface biosensor
multiple indicator optimization
terahertz
transfer learning
Online Access:https://doi.org/10.1002/advs.202504855
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https://doi.org/10.1002/advs.202504855

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