activity
20202025
most citedTraining machine-learning potentials for crystal structure prediction using disordered structures

41 citations · 70 across the 4 of their papers we have counts for

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2 papers · 1 filter

cond-mat.mtrl-sci2025

Are diffusion models ready for materials discovery in unexplored chemical space?

Sanghyun Kim, Gihyeon Jeon, Seungwoo Hwang +4

While diffusion models are attracting increasing attention for the design of novel materials, their ability to generate low-energy structures in unexplored chemical spaces has not…

cond-mat.mtrl-sci2023

Disorder-dependent Li diffusion in investigated by machine learning potential

Jiho Lee, Suyeon Ju, Seungwoo Hwang +4

Solid-state electrolytes with argyrodite structures, such as , have attracted considerable attention due to their superior safety compared to liquid electrolyt…