3 papers
physics.optics2026
Data-Efficient Electromagnetic Surrogate Solver Through Dissipative Relaxation Transfer Learning
Sunghyun Nam, Chan Y. Park, Min Seok Jang
In neural network surrogate solvers for electromagnetic simulations, accurately modeling resonant phenomena remains a central challenge. High-amplitude resonances generate strongly…
physics.optics2024
High-directivity multi-level beam switching with single-gate tunable metasurfaces based on graphene
Juho Park, Ju Young Kim, Sunghyun Nam +1
The growing demand for ultra-fast telecommunications, autonomous driving, and futuristic technologies highlights the crucial role of active beam steering at the nanoscale. This is…
cs.LG2024
Meent: Differentiable Electromagnetic Simulator for Machine Learning
Yongha Kim, Anthony W. Jung, Sanmun Kim +12
Electromagnetic (EM) simulation plays a crucial role in analyzing and designing devices with sub-wavelength scale structures such as solar cells, semiconductor devices, image senso…