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Machine Learning Driven Optimization of a Triple-Band Terahertz Metamaterial Perfect Absorber for Biomedical Applications and Biomarker Detection

2025-11-24

Abstract excerpt

<title>Abstract</title> <p>The integration of machine learning into terahertz (THz) metamaterial design has opened new frontiers in high-sensitivity, label-free biomedical sensing. This study presents a triple-band perfect metamaterial absorber whose microstructural geometry was rigorously optimized using a synergistic framework combining finite-difference time-domain (FDTD) simulations, genetic algorithm (GA), a...

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Literature Corpus work
b0bd2397-cf7a-5d74-ac88-a18feeb8e191
DOI
10.21203/rs.3.rs-7922674/v1
Open publication

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Machine Learning Driven Optimization of a Triple-Band Terahertz Metamaterial Perfect Absorber for Biomedical Applications and Biomarker DetectionDOI 10.21203/rs.3.rs-7922674/v1
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