Hiori Kino

机构：National Institute for Materials Science, The Institute of Statistical Mathematics · ORCID：0000-0002-8912-686X

发表论文 165 篇 · 总被引 4869 次 · h-index 32

代表论文

• Towards understanding structure–property relations in materials with interpretable deep learning (2023 · npj Computational Materials · 被引 48)
• Evidence-based recommender system for high-entropy alloys (2021 · Nature Computational Science · 被引 34)
• Characterization of descriptors in machine learning for data-based sputtering yield prediction (2021 · Physics of Plasmas · 被引 34)
• Automatic exhaustive calculations of large material space by Korringa-Kohn-Rostoker coherent potential approximation method applied to equiatomic quaternary high entropy alloys (2022 · Physical Review Materials · 被引 18)
• Explainable active learning in investigating structure–stability of SmFe12-α-βXαYβ structures X, Y {Mo, Zn, Co, Cu, Ti, Al, Ga} (2022 · MRS Bulletin · 被引 14)
• PID3Net: a deep learning approach for single-shot coherent X-ray diffraction imaging of dynamic phenomena (2025 · npj Computational Materials · 被引 12)