44 citations · 57 across the 5 of their papers we have counts for
5 papers
Simultaneous inverse design of materials and parameters of core-shell nanoparticle via deep-learning: Demonstration of dipole resonance engineering
Sunae So, Jungho Mun, Junsuk Rho
Recent introduction of data-driven approaches based on deep-learning technology has revolutionized the field of nanophotonics by allowing efficient inverse design methods. In this…
Designing nanophotonic structures using conditional-deep convolutional generative adversarial networks
Sunae So, Junsuk Rho
Data-driven design approaches based on deep-learning have been introduced in nanophotonics to reduce time-consuming iterative simulations which have been a major challenge. Here, w…
Topologically non-trivial photonic surface degeneracy in a photonic metamaterial
Minkyung Kim, Dasol Lee, Dongwoo Lee +1
The recent development of topological photonics has revealed a variety of intriguing phenomena such as Weyl degeneracy. However, topologically non-trivial degeneracy with higher di…
Extremely broadband topological surface states in a photonic topological metamaterials
Minkyung Kim, Dasol Lee, Wenlong Gao +4
Metamaterials, artificially engineered materials consisting of subwavelength unit cell, have shown potentials in light manipulation with their extraordinary optical properties. Esp…
A highly efficient method for second and third harmonic generation from magnetic metamaterials
Iman Sajedian, Inki Kim, Abdolnasser Zakery +1
Second and third harmonic signals have been usually generated by using nonlinear crystals, but that method suffers from the low efficiency in small thicknesses. Metamaterials can b…