Optical Instruments, Volume. 45, Issue 5, 72(2023)
Infrared radiation computation and inverse design of multilayer thin film structures based on neural network
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Fig. 1. Schematic diagram of multilayer thin film structure and its infrared emission spectrum based on neural network
Fig. 2. Forward simulation of multilayer dielectric thin film structures based on neural network
Fig. 3. The training loss function of the 5-layer thin film structure
Fig. 4. Neural network inverse design of multilayer dielectric thin film structures
Fig. 5. Neural network inverse optimization of multilayer dielectric thin film structures
Fig. 7. Net cooling power of two types radiative coolers in daytime
Table 1. Neural numbers of various layer thin film structures and its cross validation results
View tableView in ArticleTable 1. Neural numbers of various layer thin film structures and its cross validation results
层数 神经元 个数 训练集 平均损失/% 验证集 平均损失/% 测试集 平均损失/% 3 100 0.104 0.226 0.028 4 200 0.086 0.356 0.030 5 200 0.080 0.324 0.028 6 225 0.066 0.078 0.068 7 225 0.070 0.067 0.041
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Yinggang CHEN, Qian ZHU, Wenyi DENG, Xinyu WU, Yinan ZHANG. Infrared radiation computation and inverse design of multilayer thin film structures based on neural network[J]. Optical Instruments, 2023, 45(5): 72
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Received: Feb. 2, 2023
Accepted: --
Published Online: Dec. 27, 2023
The Author Email: ZHANG Yinan (zhangyinan@usst.edu.cn)
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