电子科技大学学报2024，Vol.53Issue(5)：641-654,14.DOI:10.12178/1001-0548.2024196
基于深度学习的微纳结构光谱设计研究进展
Research Progress on Deep Learning-Based Spectral Design of Micro-Nano Structures
摘要
Abstract
With the rapid development of artificial intelligence technology,deep learning has shown tremendous potential in the field of spectral regulation of micro-nano structures.By constructing complex neural network models,deep learning can learn the spectral response characteristics of micro-nano structures from experimental or simulation data without the need for explicit physical analytical models,thereby achieving efficient design optimization.This provides a new approach and methodology for the design of micro-nano structures.This paper reviews the recent research progress of deep learning in micro-nano structure design,focusing on its applications in structural color,thermal radiation control,and narrowband spectral sensing,and also discusses future opportunities and challenges in this field.关键词
人工智能/深度学习/微纳结构/光谱设计Key words
artificial intelligence/deep learning/micro-nano structures/spectral design分类
信息技术与安全科学引用本文复制引用
马文壮,游可唯,张胤,周阳,张丽..基于深度学习的微纳结构光谱设计研究进展[J].电子科技大学学报,2024,53(5):641-654,14.基金项目
国家自然科学基金(52021001,52022018,52472147) （52021001,52022018,52472147）
