10 citations · 36 across the 15 of their papers we have counts for
3 papers · 1 filter
Computational Design of Stable and Highly Ion-conductive Materials using Multi-objective Bayesian Optimization: Case Studies on Diffusion of Oxygen and Lithium
Masayuki Karasuyama, Hiroki Kasugai, Tomoyuki Tamura +1
Ion-conducting solid electrolytes are widely used for a variety of purposes. Therefore, designing highly ion-conductive materials is in strongly demand. Because of advancement in c…
Cost-effective search for lower-error region in material parameter space using multifidelity Gaussian process modeling
Shion Takeno, Yuhki Tsukada, Hitoshi Fukuoka +3
Information regarding precipitate shapes is critical for estimating material parameters. Hence, we considered estimating a region of material parameter space in which a computation…
Distance Metric Learning for Graph Structured Data
Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
Graphs are versatile tools for representing structured data. As a result, a variety of machine learning methods have been studied for graph data analysis. Although many such learni…