29 citations · 31 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2021★ 2 cited
A Generative Model for Extrapolation Prediction in Materials Informatics
Kan Hatakeyama-Sato, Kenichi Oyaizu
We report a deep generative model for regression tasks in materials informatics. The model is introduced as a component of a data imputer, and predicts more than 20 diverse experim…
physics.comp-ph2020★ 29 cited
Tackling the challenge of a huge materials science search space with quantum-inspired annealing
Kan Hatakeyama-Sato, Takahiro Kashikawa, Koichi Kimura +1
Efficient screening of chemicals is essential for exploring new materials. However, the search space is astronomically large, making calculations with conventional computers infeas…