Finding the optical properties of plasmonic structures by image processing using a combination of convolutional neural networks and recurrent neural networks I Sajedian, J Kim, J Rho Microsystems & nanoengineering 5 (1), 27, 2019 | 171 | 2019 |
Optimisation of colour generation from dielectric nanostructures using reinforcement learning I Sajedian, T Badloe, J Rho Optics express 27 (4), 5874-5883, 2019 | 157* | 2019 |
Double-deep Q-learning to increase the efficiency of metasurface holograms I Sajedian, H Lee, J Rho Scientific reports 9 (1), 10899, 2019 | 95 | 2019 |
Design of high transmission color filters for solar cells directed by deep Q-learning I Sajedian, H Lee, J Rho Solar Energy 195, 670-676, 2020 | 36 | 2020 |
Accurate and instant frequency estimation from noisy sinusoidal waves by deep learning I Sajedian, J Rho Nano convergence 6 (1), 27, 2019 | 32 | 2019 |
Deep Q-network to produce polarization-independent perfect solar absorbers: a statistical report I Sajedian, T Badloe, H Lee, J Rho Nano Convergence 7, 1-7, 2020 | 19 | 2020 |
High efficiency second and third harmonic generation from magnetic metamaterials by using a grating I Sajedian, A Zakery, J Rho Optics Communications 397, 17-21, 2017 | 8 | 2017 |
The role of current loop in harmonic generation from magnetic metamaterials in two polarizations I Sajedian, I Kim, A Zakery, J Rho Optics Communications 401, 66-70, 2017 | 4 | 2017 |
Convolutional and neural networks combined image processing method to find the optical properties of plasmonic structures and fabrication of samples I Sajedian 한국표면공학회 학술발표회 초록집, 126-126, 2018 | | 2018 |