Convolutional neural network-assisted design and validation of terahertz metamaterial sensor
This paper proposes a convolutional neural network (CNN)-assisted method for both forward optimization and inverse design of terahertz metamaterial sensors (TMSs), addressing the limitations imposed by reliance on manual trial-and-error processes. A hollow n-shaped TMS based on copper foil was devel...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | Materials & Design |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127525002916 |
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