| 2021-02 | Deep learning-assisted microstructural analysis of Ni/YSZ anode composites for solid oxide fuel cells | Hwang, Heesu; Ahn, Junsung; Lee, Hyunbae; Oh, Jiwon; Kim, Jaehwan; Ahn, Jae-Pyeong; Kim, Hong-Kyu; Lee, Jong-Ho; Yoon, Young; Hwang, Jin-Ha |
| 2020-09-30 | Integrated application of semantic segmentation-assisted deep learning to quantitative multi-phased microstructural analysis in composite materials: Case study of cathode composite materials of solid oxide fuel cells | Hwang, Heesu; Choi, Sung Min; Oh, Jiwon; Bae, Seung-Muk; Lee, Jong-Ho; Ahn, Jae-Pyeong; Lee, Jeong-O; An, Ki-Seok; Yoon, Young; Hwang, Jin-Ha |
| 2025-03 | Machine Learning-Assisted Microstructural Quantification of Multiphase Cathode Composites in All-Solid-State Batteries: Correlation with Battery Performance | Hwang, Heesu; Jeong, Hyeseong; Cho, Jeong-Won; Oh, Youkeun; Kim, Dokyun; Shin, Dongwook; Lee, Jong-Ho; Kim, Hyoungchul; Hwang, Jin-Ha |
| 2024-09 | Shear-controlled composite cathodes for all-solid-state batteries combined synergistically with stereology-driven image analysis | Jeong, Hyeseong; Hwang, Heesu; Cho, Jeong-Won; Shin, Dongwook; Lee, Jong-Ho; Shin, Sung Soo; Hwang, Jin-Ha; Kim, Hyoungchul |
