Showing cond-mat.mtrl-sciShow all
2 papers · 1 filter
cond-mat.mtrl-sci2026
Coarse-grained graph architectures for all-atom force predictions
Sungwoo Kang, Jinwoong Chae
We introduce a machine-learning framework termed coarse-grained all-atom force field (CGAA-FF), which incorporates coarse-grained message passing within an all-atom force field usi…
cond-mat.mtrl-sci2025
CNN-based TEM image denoising from first principles
Jinwoong Chae, Sungwook Hong, Sungkyu Kim +2
Transmission electron microscope (TEM) images are often corrupted by noise, hindering their interpretation. To address this issue, we propose a deep learning-based approach using s…