Junsuk Rho

According to our database, Junsuk Rho authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MetaCraft: Database-driven metalens design and optimization software.

Jaebum Noh, Hanlyun Cho, Cherry Park, Dohyun Kang, Yujin Park, Junsuk Rho

SoftwareX, 2024

2023

CDPDS: Coupled dipole method-based photonic dispersion solver.

Minkyung Kim, Junsuk Rho

Comput. Phys. Commun., 2023

Neural 360° Structured Light with Learned Metasurfaces.

Eunsue Choi, Gyeongtae Kim, Jooyeong Yun, Yujin Jeon, Junsuk Rho, Seung-Hwan Baek

CoRR, 2023

2022

Effect of ALD Processes on Physical and Electrical Properties of HfO₂ Dielectrics for the Surface Passivation of a CMOS Image Sensor Application.

Honggyun Kim, Vijay D. Chavan, Jamal Aziz, Byoungsu Ko, Jae-Sung Lee, Junsuk Rho, Tukaram D. Dongale, Kyeong-Keun Choi, Deok-Kee Kim

IEEE Access, 2022

2021

Chiroptical Metasurfaces: Principles, Classification, and Applications.

Joohoon Kim, Ahsan Sarwar Rana, Yeseul Kim, Inki Kim, Trevon Badloe, Muhammad Zubair, Muhammad Qasim Mehmood, Junsuk Rho

Sensors, 2021

MAXIM: Metasurfaces-oriented electromagnetic wave simulation software with intuitive graphical user interfaces.

Gwanho Yoon, Junsuk Rho

Comput. Phys. Commun., 2021

2020

Scalable and High-Throughput Top-Down Manufacturing of Optical Metasurfaces.

Taejun Lee, Chihun Lee, Dong Kyo Oh, Trevon Badloe, Jong G. Ok, Junsuk Rho

Sensors, 2020

Development of Artificial Neural Network System to Recommend Process Conditions of Injection Molding for Various Geometries.

Chihun Lee, Juwon Na, Kyongho Park, Hyeonjae Yu, Jongsun Kim, Kwonil Choi, Dongyong Park, Seongjin Park, Junsuk Rho, Seungchul Lee

Adv. Intell. Syst., 2020

Recent Progress in Metamaterials-Based Imaging.

Junsuk Rho

Proceedings of the 22nd International Conference on Transparent Optical Networks, 2020

2019

Biomimetic Ultra-Broadband Perfect Absorbers Optimised with Reinforcement Learning.

Trevon Badloe, Inki Kim, Junsuk Rho

CoRR, 2019

Designing nanophotonic structures using conditional-deep convolutional generative adversarial networks.

Sunae So, Junsuk Rho

CoRR, 2019

2018

Finding the best design parameters for optical nanostructures using reinforcement learning.

Iman Sajedian, Trevon Badloe, Junsuk Rho

CoRR, 2018

Predicting resonant properties of plasmonic structures by deep learning.

Iman Sajedian, Jeonghyun Kim, Junsuk Rho

CoRR, 2018