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J-GLOBAL ID:201801015581841570   Update date: Aug. 17, 2024

Kino Hiori

キノ ヒオリ | Kino Hiori
Affiliation and department:
Job title: Senior Researcher
Research field  (1): Mathematical physics and basic theory
Research keywords  (6): conductance ,  superconductivity ,  magnet ,  GW ,  first-principles calculation ,  Materials Informatics
Research theme for competitive and other funds  (9):
  • 2021 - 2024 Automation of Data-Driven Multidimensional Materials Design and Acceleration of Synthesis for New Materials Discovery
  • 2020 - 2023 ハイエントロピー合金物性探索のための機械学習を取り入れた物性自動探索
  • 2013 - 2017 Theoretical investigation of reaction fields of biological macromolecular systems based on quantum sciences and mathematical informatics
  • 2011 - 2012 高精度量子化学計算による高精度ポテンシャルの作成とシミュレーション技法の開発
  • 2009 - 2011 Theoretical analysis of functional mechanisms of biological macromolecules using hybrid quantum mechanics/molecular mechanics molecular dynamics simulation
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Papers (92):
  • Tomoki Yamashita, Hiori Kino, Koji Tsuda, Takashi Miyake, Tamio Oguchi. Hybrid algorithm of Bayesian optimization and evolutionary algorithm in crystal structure prediction. Science and Technology of Advanced Materials: Methods. 2022. 2. 1. 67-74
  • Minh Quyet Ha, Duong Nguyen Nguyen, Viet Cuong Nguyen, Takahiro Nagata, Toyohiro Chikyow, Hiori Kino, Takashi Miyake, Thierry Denœux, Van Nam Huynh, Hieu Chi Dam. Evidence-based recommender system for high-entropy alloys. Nature Computational Science. 2021. 1. 7. 470-478
  • Tomoki Yamashita, Shinichi Kanehira, Nobuya Sato, Hiori Kino, Kei Terayama, Hikaru Sawahata, Takumi Sato, Futoshi Utsuno, Koji Tsuda, Takashi Miyake, et al. CrySPY: a crystal structure prediction tool accelerated by machine learning. Science and Technology of Advanced Materials: Methods. 2021. 1. 1. 87-97
  • Hiori Kino, Kazumasa Ikuse, Hieu Chi Dam, Satoshi Hamaguchi. Characterization of descriptors in machine learning for data-based sputtering yield prediction. Physics of Plasmas. 2021. 28. 1
  • Tien-Lam Pham, Duong-Nguyen Nguyen, Minh-Quyet Ha, Hiori Kino, Takashi Miyake, Hieu-Chi Dam. Explainable machine learning for materials discovery: predicting the potentially formable Nd-Fe-B crystal structures and extracting the structure-stability relationship. IUCRJ. 2020. 7. 1036-1047
more...
MISC (25):
  • Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Hiori Kino, Takashi Miyake, Hieu-Chi Dam. Ensemble learning reveals dissimilarity between rare-earth transition metal binary alloys with respect to the Curie temperature (vol 2, 034009, 2019). JOURNAL OF PHYSICS-MATERIALS. 2020. 3. 1
  • 木野 日織, 幾世 和将, DAM Hieu Chi, 浜口 智志. 機械学習によるプラズマエッチング率予測-Prediction of Plasma Etching Yields by Machine Learning-小特集 プラズマ・インフォマティクス : データ駆動科学のプラズマへの応用. プラズマ・核融合学会誌 = Journal of plasma and fusion research / プラズマ・核融合学会編集委員会 編. 2019. 95. 11. 542-547
  • Sakakibara Hirofumi, Jang Seung Woo, Kino Hiori, Han Myung Joon, Kuroki Kazuhiko, Kotani Takao. Estimation of interaction model parameters intended to analyze muti-orbital superconducting system by mRPA method. Meeting Abstracts of the Physical Society of Japan. 2018. 73. 0. 1891-1891
  • Tsumuraya Takao, Sawahata Hikaru, Ishii Fumiyuki, Kino Hiori, Kato Reizo, Miyazaki Tsuyoshi. Pressure-induced Dirac nodal-line semimetal and topological phase transition in a single-component molecular crystal, [Pd(dddt)2]: A first-principles study. Meeting Abstracts of the Physical Society of Japan. 2017. 72. 0. 924-924
  • Harashima Yosuke, Miyake Takashi, Kino Hiori, Ishibashi Shoji, Terakura Kiyoyuki. 27pAF-9 First principles study for stability of NdFe_<11>Ti. Meeting abstracts of the Physical Society of Japan. 2014. 69. 1. 509-509
more...
Books (1):
  • Orange data miningではじめるマテリアルズインフォマティクス
    近代科学社 2021 ISBN:9784764906310
Awards (4):
  • 2018/11 - Journal of Physical Society of Japan JPSJ Papers of Editor's choice Important Descriptors and Descriptor Groups of Curie Temperatures of Rare-earth Transition-metal Binary Alloys
  • 2004/08 - Journal of the Physical Society of Japan JPSJ Papers of Editors' Choice A Possible Origin of Carrier Doping into DNA
  • 2004/01 - Journal of the Physical Society of Japan JPSJ Papers of Editors' Choice Phase Diagram of β'-(BEDT-TTF)2ICl2 under High Pressure Based on the First-Principles Electronic Structure
  • 1998/04 - the Physical Society of Japan Outstanding Paper Award Phase Diagram of Two-Dimensional Organic Conductors:(BEDT-TTF)2X
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