2 papers
physics.optics2025
Efficient nanophotonic devices optimization using deep neural network trained with physics-based transfer learning (PBTL) methodology
Gibaek Kim, Jungho Kim
We propose a neural network(NN)-based surrogate modeling framework for photonic device optimization, especially in domains with imbalanced feature importance and high data generati…
cs.LG2025
Improving the performance of optical inverse design of multilayer thin films using CNN-LSTM tandem neural networks
Uijun Jung, Deokho Jang, Sungchul Kim +1
Optical properties of thin film are greatly influenced by the thickness of each layer. Accurately predicting these thicknesses and their corresponding optical properties is importa…