Hiori Kino

Bio-Rad (United States) — United States

Materials Science · Physical Sciences

31h-index4.7kcitations161works1.32yr avg
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Research Topics

Organic and Molecular Conductors Research(30), Machine Learning in Materials Science(28), Magnetism in coordination complexes(25), Physics of Superconductivity and Magnetism(15), Molecular Junctions and Nanostructures(15)

Publications160 total

Author response for "Beyond Interpolation: Integration of Data and AI-Extracted Knowledge for High-Entropy Alloy Discovery"
2025
PID3Net: a deep learning approach for single-shot coherent X-ray diffraction imaging of dynamic phenomena
npj Computational Materials·2025· 6 citedOpen Access
Synergistic Fusion of Multi-Source Knowledge via Evidence Theory for High-Entropy Alloy Discovery
arXiv (Cornell University)·2025Open Access
Beyond Interpolation: Integration of Data and Ai-Extracted Knowledge for High-Entropy Alloy Discovery
SSRN Electronic Journal·2025Open Access
Superconductor Discovery in the Emerging Paradigm of Materials Informatics
Chemistry of Materials·2024· 2 citedOpen Access
Towards understanding structure–property relations in materials with interpretable deep learning
npj Computational Materials·2023· 34 citedOpen Access
Deep learning reveals key aspects to help interpret the structure-property relationships of materials
2023Open Access
Evidence-based data mining method to reveal similarities between materials based on physical mechanisms
Journal of Applied Physics·2023· 4 citedOpen Access
Explainable active learning in investigating structure–stability of SmFe12-α-βXαYβ structures X, Y {Mo, Zn, Co, Cu, Ti, Al, Ga}
MRS Bulletin·2022· 12 citedOpen Access
Function Decomposition Tree with Causality-First Perspective and Systematic Description of Problems in Materials Informatics
arXiv (Cornell University)·2022· 2 citedOpen Access
Hybrid algorithm of Bayesian optimization and evolutionary algorithm in crystal structure prediction
Science and Technology of Advanced Materials Methods·2022· 10 citedOpen Access
Automatic exhaustive calculations of large material space by Korringa-Kohn-Rostoker coherent potential approximation method applied to equiatomic quaternary high entropy alloys
Physical Review Materials·2022· 16 citedOpen Access
Evidence-Based Data Mining Method to Reveal Similarities between Materials Based on Physical Mechanisms
SSRN Electronic Journal·2022Open Access
Automatic exhaustive calculations of large material space by Korringa-Kohn-Rostoker coherent approximation method --- Applied to equiatomic quaternary high entropy alloys
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Automatic exhaustive calculations of large material space by Korringa-Kohn-Rostoker coherent approximation method --- Applied to equiatomic quaternary high entropy alloys
2021· 1 citedOpen Access
Evidence-based recommender system for high-entropy alloys
Nature Computational Science·2021· 31 citedOpen Access
Automatic exhaustive calculations of large material space by Korringa-Kohn-Rostoker coherent approximation method --- Applied to equiatomic quaternary high entropy alloys
2021Open Access
Evidence-based recommender system and experimental validation for high-entropy alloys
2021Open Access
High-entropy alloys data sets of evidence-based recommender system for combinatorial materials synthesis
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
High-entropy alloys data sets of evidence-based recommender system for combinatorial materials synthesis
Figshare·2021· 1 citedOpen Access
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Frequent Co-authors

Takashi Miyake(16), Kiyoyuki Terakura(11), Takahisa Ohno(8), Hieu‐Chi Dam(7), Taisuke Ozaki(6), Hidetoshi Fukuyama(6), Jun Nara(6), Hiroshi Kontani(5), Shoji Ishibashi(5), Hisashi Kondo(5), Koji Tsuda(4), Yosuke Harashima(4), Takao Kotani(4), Tsuyoshi Miyazaki(3), Tien Lam Pham(3), Myung Joon Han(3), Duong‐Nguyen Nguyen(3), Viet-Cuong Nguyen(3), Kengo Nishio(2), Tomoki Yamashita(2)