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转移学习用于元材料设计和模拟.

Rixi Peng1, Simiao Ren1, Jordan Malof2,1

  • 1Electrical and Computer Engineering, Duke University, Durham, NC, USA.

Nanophotonics (Berlin, Germany)
|December 5, 2024
PubMed
概括

转移学习增强了对 metasurface 阵列的深度学习模型训练. 这种方法显著降低了数据需求,通过最小的训练数据实现了高精度.

关键词:
深度学习是一种深度学习.超材料是指金属材料.metasurfaces 是一个表层.散射散射是一种散射.转移学习转移学习

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