59 citations · 60 across the 2 of their papers we have counts for
Showing cond-mat.mtrl-sciShow all
2 papers · 1 filter
cond-mat.mtrl-sci2024★ 1 cited
Advancing Extrapolative Predictions of Material Properties through Learning to Learn
Kohei Noda, Araki Wakiuchi, Yoshihiro Hayashi +1
Recent advancements in machine learning have showcased its potential to significantly accelerate the discovery of new materials. Central to this progress is the development of rapi…
cond-mat.mtrl-sci2022★ 59 cited
Crystal structure prediction with machine learning-based element substitution
Minoru Kusaba, Chang Liu, Ryo Yoshida
The prediction of energetically stable crystal structures formed by a given chemical composition is a central problem in solid-state physics. In principle, the crystalline state of…