• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Seko Atsuto  世古 敦人

ORCIDConnect your ORCID iD *help
… Alternative Names

SEKO Atsuto  世古 敦人

Less
Researcher Number 10452319
Other IDs
Affiliation (Current) 2025: 京都大学, 工学研究科, 教授
Affiliation (based on the past Project Information) *help 2016 – 2025: 京都大学, 工学研究科, 准教授
2017: 京都大学, 大学院工学研究科, 准教授
2015: 京都大学, 工学(系)研究科(研究院), 准教授
2013: 京都大学, 大学院工学研究科, 助教
2012: 京都大学, 大学院・工学研究科, 助教 … More
2012: 京都大学, 工学(系)研究科(研究院), 助教
2011: 京都大学, 工学研究科, 助教
2010: 京都大学, 大学院・工学研究科, 助教
2008 – 2010: Kyoto University, 次世代開拓研究ユニット, 助教 Less
Review Section/Research Field
Principal Investigator
Basic Section 26010:Metallic material properties-related / Medium-sized Section 26:Materials engineering and related fields / Physical properties of metals / Physical properties of metals/Metal-base materials
Except Principal Investigator
Physical properties of metals / Science and Engineering / Broad Section D / Physical properties of metals/Metal-base materials
Keywords
Principal Investigator
第一原理計算 / 機械学習 / 原子間ポテンシャル / 構造探索 / 結晶構造探索 / 状態図 / セラミックス / 機械学習ポテンシャル / 大域的構造探索 / 原子間ポテンシャル … More / 材料インフォマティクス / 転移学習 / 固体化学 / データベース / 結晶化学 / 新規化合物 / 無機化合物 / 推薦システム / 線形回帰 / 回帰分析 / 分子動力学 / 統計力学 / 熱力学 / クラスター展開法 / 長距離相互作用 / データマイニング / 結晶構造 / 平衡状態図 … More
Except Principal Investigator
第一原理計算 / 機械学習 / 統計力学 / 熱力学 / 遷移金属酸化物 / 強相関電子系 / スピントロニクス / 高圧合成 / インフォマティックス / ナノ計測 / シミュレーション / 情報科学 / 透過型電子顕微鏡 / 機械学習ポテンシャル / プロセスインフォマティックス / 計測インフォマティックス / 表面 / マテリアルズインフォマティクス / 計測インフォマティクス / 転位 / 界面 / 格子欠陥 / 機能コア / 結晶構造記述子 / 統計熱力学計算 / 材料探索 / 2次電池正極材料 / データサイエンス / データマイニング / ナノ構造情報 / 分子動力学法 / 統計熱力学 / 酸化物固溶体 / 高イオン伝導結晶 / 平衡状態図 / セラミックス固溶体 / ノンストイキオメトリ / 酸化物 Less
  • Research Projects

    (14 results)
  • Research Products

    (123 results)
  • Co-Researchers

    (12 People)
  •  Comprehensive exploration of metastable strongly correlated materials as post-spintronics

    • Principal Investigator
      石渡 晋太郎
    • Project Period (FY)
      2025 – 2029
    • Research Category
      Grant-in-Aid for Scientific Research (S)
    • Review Section
      Broad Section D
    • Research Institution
      The University of Osaka
  •  第一原理計算と機械学習による革新的な新物質探索手法の開発Principal Investigator

    • Principal Investigator
      世古 敦人
    • Project Period (FY)
      2025 – 2026
    • Research Category
      Grant-in-Aid for Challenging Research (Exploratory)
    • Review Section
      Medium-sized Section 26:Materials engineering and related fields
    • Research Institution
      Kyoto University
  •  Machine learning potentials and their applications to crystal structure searchPrincipal Investigator

    • Principal Investigator
      世古 敦人
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 26010:Metallic material properties-related
    • Research Institution
      Kyoto University
  •  Materials design using first principles calculations and machine learningPrincipal Investigator

    • Principal Investigator
      Seko Atsuto
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 26010:Metallic material properties-related
    • Research Institution
      Kyoto University
  •  Computational design of functional core using informatics approaches

    • Principal Investigator
      Mizoguchi Teruyasu
    • Project Period (FY)
      2019 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Science and Engineering
    • Research Institution
      The University of Tokyo
  •  Recommender system for discovering new inorganic compoundsPrincipal Investigator

    • Principal Investigator
      Seko Atsuto
    • Project Period (FY)
      2018 – 2019
    • Research Category
      Grant-in-Aid for Challenging Research (Exploratory)
    • Review Section
      Medium-sized Section 26:Materials engineering and related fields
    • Research Institution
      Kyoto University
  •  Procedure for constructing machine learning interatomic potentialsPrincipal Investigator

    • Principal Investigator
      Seko Atsuto
    • Project Period (FY)
      2015 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Physical properties of metals/Metal-base materials
    • Research Institution
      Kyoto University
  •  Materials informatics from first-principles

    • Principal Investigator
      Tanaka Isao
    • Project Period (FY)
      2015 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Physical properties of metals/Metal-base materials
    • Research Institution
      Kyoto University
  •  Exploration of nanostructure-property relationships

    • Principal Investigator
      Tanaka Isao
    • Project Period (FY)
      2013 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Science and Engineering
    • Research Institution
      Kyoto University
  •  First principles investigation of high ionic conductivity in ionic crystals

    • Principal Investigator
      TANAKA Isao
    • Project Period (FY)
      2012 – 2013
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Physical properties of metals
    • Research Institution
      Kyoto University
  •  Structure and phase stability of alloys based on systematic first principles thermodynamics calculations

    • Principal Investigator
      TANAKA Isao
    • Project Period (FY)
      2011 – 2013
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Physical properties of metals
    • Research Institution
      Kyoto University
  •  First principles thermodynamics calculation with controlled accuracy in multicomponent systemsPrincipal Investigator

    • Principal Investigator
      SEKO Atsuto
    • Project Period (FY)
      2011 – 2012
    • Research Category
      Grant-in-Aid for Young Scientists (A)
    • Research Field
      Physical properties of metals
    • Research Institution
      Kyoto University
  •  First principles thermodynamics in nonstoichiometric oxides

    • Principal Investigator
      TANAKA Isao
    • Project Period (FY)
      2008 – 2010
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Physical properties of metals
    • Research Institution
      Kyoto University
  •  Development of methodologies for determination of stable structures in non-closed packed oxidesPrincipal Investigator

    • Principal Investigator
      SEKO Atsuto
    • Project Period (FY)
      2008 – 2009
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Physical properties of metals
    • Research Institution
      Kyoto University

All 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 Other

All Journal Article Presentation Book

  • [Book] Recommender Systems for Materials Discovery in “Machine Learning Meets Quantum Physics2020

    • Author(s)
      A. Seko, H. Hayashi, H. Kashima, and I. Tanaka
    • Total Pages
      467
    • Publisher
      Springer
    • ISBN
      9783030402457
    • Data Source
      KAKENHI-PLANNED-19H05787
  • [Journal Article] Global structure optimization following imaginary phonon modes accelerated by machine learning potentials in Cu, Ag, and Au2023

    • Author(s)
      Naruse Takuya、Seko Atsuto、Tanaka Isao
    • Journal Title

      J. Ceram. Soc. Japan

      Volume: 131 Issue: 10 Pages: 746-750

    • DOI

      10.2109/jcersj2.23056

    • ISSN
      1348-6535, 1882-0743
    • Year and Date
      2023-10-01
    • Language
      English
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22KJ1982, KAKENHI-PLANNED-19H05787, KAKENHI-PROJECT-23K23024
  • [Journal Article] Structure search method for atomic clusters based on the dividing rectangles algorithm,2023

    • Author(s)
      K. Kanayama, A. Seko, K. Toyoura
    • Journal Title

      Phys. Rev. E

      Volume: 108 Issue: 3 Pages: 035303-035303

    • DOI

      10.1103/physreve.108.035303

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-19H05787, KAKENHI-PROJECT-23K23024
  • [Journal Article] Efficient global crystal structure prediction using polynomial machine learning potential in the binary Al–Cu alloy system2023

    • Author(s)
      H. Wakai, A. Seko, I. Tanaka
    • Journal Title

      J. Ceram. Soc. Japan

      Volume: 131 Issue: 10 Pages: 762-766

    • DOI

      10.2109/jcersj2.23053

    • ISSN
      1348-6535, 1882-0743
    • Year and Date
      2023-10-01
    • Language
      English
    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-19H05787, KAKENHI-PROJECT-23K23024
  • [Journal Article] Tutorial: Systematic development of polynomial machine learning potentials for elemental and alloy systems2023

    • Author(s)
      Seko Atsuto
    • Journal Title

      Journal of Applied Physics

      Volume: 133 Issue: 1 Pages: 011101-011101

    • DOI

      10.1063/5.0129045

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23K23024, KAKENHI-PLANNED-19H05787
  • [Journal Article] Modeling of materials and its applications using density functional theory calculation and machine learning2022

    • Author(s)
      世古 敦人
    • Journal Title

      Oyo Buturi

      Volume: 91 Issue: 2 Pages: 77-81

    • DOI

      10.11470/oubutsu.91.2_77

    • NAID

      130008149721

    • ISSN
      0369-8009, 2188-2290
    • Year and Date
      2022-02-01
    • Language
      Japanese
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H02419, KAKENHI-PLANNED-19H05787
  • [Journal Article] 機能コア解析のためのソフトウェア開発と応用2022

    • Author(s)
      世古敦人,豊浦和明,柴田基洋,溝口照康
    • Journal Title

      まてりあ

      Volume: Vol. 61, No. 10 Pages: 634-639

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-19H05787
  • [Journal Article] Structure and lattice thermal conductivity of grain boundaries in silicon by using machine learning potential and molecular dynamics2022

    • Author(s)
      Susumu Fujii, Atsuto Seko
    • Journal Title

      Computational Materials Science

      Volume: 204 Pages: 111137-111137

    • DOI

      10.1016/j.commatsci.2021.111137

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PUBLICLY-20H05195, KAKENHI-PROJECT-19H02419, KAKENHI-PROJECT-20K15034, KAKENHI-PLANNED-19H05787
  • [Journal Article] Finding well-optimized special quasirandom structures with decision diagram2021

    • Author(s)
      Shinohara Kohei、Seko Atsuto、Horiyama Takashi、Tanaka Isao
    • Journal Title

      Physical Review Materials

      Volume: 5 Issue: 11 Pages: 113803-113803

    • DOI

      10.1103/physrevmaterials.5.113803

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H02419, KAKENHI-PROJECT-21J10712, KAKENHI-PLANNED-20H05964, KAKENHI-PROJECT-20H00605, KAKENHI-PLANNED-19H05787
  • [Journal Article] Prediction of perovskite-related structures in ACuO3-x (A = Ca, Sr, Ba, Sc, Y, La) using density functional theory and Bayesian optimization2020

    • Author(s)
      A. Seko and S. Ishiwata
    • Journal Title

      Phys. Rev. B

      Volume: 101 Issue: 13 Pages: 134101-134101

    • DOI

      10.1103/physrevb.101.134101

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17H01195, KAKENHI-PLANNED-19H05787, KAKENHI-PROJECT-19H02419
  • [Journal Article] Fast material search of lithium ion conducting oxides using a recommender system2020

    • Author(s)
      Suzuki Kota、Ohura Kosei、Seko Atsuto、Iwamizu Yudai、Zhao Guowei、Hirayama Masaaki、Tanaka Isao、Kanno Ryoji
    • Journal Title

      Journal of Materials Chemistry A

      Volume: 8 Issue: 23 Pages: 11582-11588

    • DOI

      10.1039/d0ta02556a

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-19H05787, KAKENHI-PROJECT-17H06145
  • [Journal Article] Application of machine learning potentials to predict grain boundary properties in fcc elemental metals2020

    • Author(s)
      Takayuki Nishiyama, Atsuto Seko, and Isao Tanaka
    • Journal Title

      Phys. Rev. Materials

      Volume: 4 Issue: 12 Pages: 123607-123607

    • DOI

      10.1103/physrevmaterials.4.123607

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K22054, KAKENHI-PLANNED-19H05787, KAKENHI-PROJECT-18H03843, KAKENHI-PROJECT-19H02419
  • [Journal Article] Machine learning potentials for multicomponent systems: The Ti-Al binary system2020

    • Author(s)
      Seko Atsuto
    • Journal Title

      Physical Review B

      Volume: 102 Issue: 17 Pages: 174104-174104

    • DOI

      10.1103/physrevb.102.174104

    • NAID

      120006898049

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-19H05787, KAKENHI-PROJECT-19H02419
  • [Journal Article] Enumeration of nonequivalent substitutional structures using advanced data structure of binary decision diagram2020

    • Author(s)
      Shinohara Kohei、Seko Atsuto、Horiyama Takashi、Ishihata Masakazu、Honda Junya、Tanaka Isao
    • Journal Title

      The Journal of Chemical Physics

      Volume: 153 Issue: 10 Pages: 104109-104109

    • DOI

      10.1063/5.0021663

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-19H05787, KAKENHI-PROJECT-19H02419, KAKENHI-PROJECT-18K11153
  • [Journal Article] Recommender System of Successful Processing Conditions for New Compounds Based on a Parallel Experimental Data Set2019

    • Author(s)
      Hayashi Hiroyuki、Hayashi Katsuyuki、Kouzai Keita、Seko Atsuto、Tanaka Isao
    • Journal Title

      Chemistry of Materials

      Volume: 31 Issue: 24 Pages: 9984-9992

    • DOI

      10.1021/acs.chemmater.9b01799

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K18942
  • [Journal Article] Group-theoretical high-order rotational invariants for structural representations: Application to linearized machine learning interatomic potential2019

    • Author(s)
      Seko Atsuto、Togo Atsushi、Tanaka Isao
    • Journal Title

      Physical Review B

      Volume: 99 Issue: 21 Pages: 214108-214108

    • DOI

      10.1103/physrevb.99.214108

    • NAID

      120006767915

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H02419
  • [Journal Article] Progress in nanoinformatics and informational materials science2018

    • Author(s)
      A. Seko, K. Toyoura, S. Muto, T. Mizoguchi and S. Broderick
    • Journal Title

      MRS Bulletin

      Volume: 43

    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K18942
  • [Journal Article] Temperature-dependent phonon spectra of magnetic random solid solutions2018

    • Author(s)
      Ikeda, Y, Kormann, F, Dutta, B, Carreras, A, Seko, A, Neugebauer, J and Tanaka, I
    • Journal Title

      NPJ COMPUTATIONAL MATERIALS

      Volume: 4 Issue: 1 Pages: 7-7

    • DOI

      10.1038/s41524-018-0063-1

    • NAID

      120006523830

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25106005, KAKENHI-PROJECT-16K18228
  • [Journal Article] Matrix- and tensor-based recommender systems for the discovery of currently unknown inorganic compounds2018

    • Author(s)
      Seko, A, Hayashi, H, Kashima, H and Tanaka, I
    • Journal Title

      PHYSICAL REVIEW MATERIALS

      Volume: 2-1 Issue: 1 Pages: 013805-013805

    • DOI

      10.1103/physrevmaterials.2.013805

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-25106005, KAKENHI-PROJECT-15H01704
  • [Journal Article] Conceptual and practical bases for the high accuracy of machine learning interatomic potentials: Application to elemental titanium2017

    • Author(s)
      Takahashi, A, Seko, A and Tanaka, I
    • Journal Title

      PHYSICAL REVIEW MATERIALS

      Volume: 1-6 Issue: 6 Pages: 063801-063801

    • DOI

      10.1103/physrevmaterials.1.063801

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-25106005, KAKENHI-PROJECT-15H04116
  • [Journal Article] Representation of compounds for machine-learning prediction of physical properties2017

    • Author(s)
      Atsuto Seko, Hiroyuki Hayashi, Keita Nakayama, Akira Takahashi, Isao Tanaka
    • Journal Title

      Phys. Rev. B

      Volume: 95 Issue: 14 Pages: 144110-144110

    • DOI

      10.1103/physrevb.95.144110

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Journal Article] First-Principles Selection of Solute Elements for Er-Stabilized Bi2O3 Oxide-Ion Conductor with Improved Long-Term Stability at Moderate Temperatures2017

    • Author(s)
      Shitara, K, Moriasa, T, Sumitani, A, Seko, A, Hayashi, H, Koyama, Y, Huang, R, Han, DL, Moriwake, H and Tanaka I
    • Journal Title

      CHEMISTRY OF MATERIALS

      Volume: 29-8 Issue: 8 Pages: 3763-3768

    • DOI

      10.1021/acs.chemmater.7b00846

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25106005, KAKENHI-PLANNED-25106008, KAKENHI-PROJECT-15H02286
  • [Journal Article] Special quasirandom structure in heterovalent ionic systems2015

    • Author(s)
      Seko, A. and Tanaka, I.
    • Journal Title

      PHYSICAL REVIEW B

      Volume: 91 Issue: 2 Pages: 024106-024106

    • DOI

      10.1103/physrevb.91.024106

    • NAID

      120005539356

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-25106005
  • [Journal Article] First-principles interatomic potentials for ten elemental metals via compressed sensing2015

    • Author(s)
      Seko, A., Takahashi, A. and Tanaka, I.
    • Journal Title

      PHYSICAL REVIEW B

      Volume: 92 Issue: 5 Pages: 054113-054113

    • DOI

      10.1103/physrevb.92.054113

    • NAID

      120005690126

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PLANNED-25106005, KAKENHI-PROJECT-15H02286, KAKENHI-PROJECT-15H04116, KAKENHI-PROJECT-15J07315
  • [Journal Article] Prediction of Low-Thermal-Conductivity Compounds with First-Principles Anharmonic Lattice-Dynamics Calculations and Bayesian Optimization2015

    • Author(s)
      Atsuto Seko, Atsushi Togo, Hiroyuki Hayashi, Koji Tsuda, Laurent Chaput, Isao Tanaka
    • Journal Title

      Physical Review Letters

      Volume: 115 Issue: 20 Pages: 205901-205901

    • DOI

      10.1103/physrevlett.115.205901

    • NAID

      120005670878

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-24106010, KAKENHI-PLANNED-25106005, KAKENHI-PROJECT-15H02286, KAKENHI-PROJECT-26820284
  • [Journal Article] Machine learning with systematic density-functional theory calculations : Application to melting temperatures of single- and binary-component solids2014

    • Author(s)
      Seko, Atsuto; Maekawa, Tomoya ; Tsuda, Koji and Tanaka, Isao
    • Journal Title

      Physical Review B

      Volume: Vol.89 Issue: 5 Pages: 54303-54303

    • DOI

      10.1103/physrevb.89.054303

    • NAID

      120005466623

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23246111, KAKENHI-PLANNED-24106010, KAKENHI-PLANNED-25106005
  • [Journal Article] Cluster expansion of multicomponent ionic systems with controlled accuracy: importance of long-range interactions in heterovalent ionic systems2014

    • Author(s)
      Atsuko Seko and Isao Tanaka
    • Journal Title

      JOURNAL OF PHYSICS-CONDENSED MATTER

      Volume: 26 Issue: 11 Pages: 115403-115403

    • DOI

      10.1088/0953-8984/26/11/115403

    • NAID

      120005624355

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PLANNED-25106005
  • [Journal Article] Sparse representation for a potential energy surface2014

    • Author(s)
      Atsuto Seko, Akira Takahashi and Isao Tanaka
    • Journal Title

      PHYSICAL REVIEW B

      Volume: 90 Issue: 2 Pages: 024101-1

    • DOI

      10.1103/physrevb.90.024101

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PLANNED-25106005
  • [Journal Article] Efficient determination of alloy ground-state structures2014

    • Author(s)
      A. Seko, K. Shitara, and I. Tanaka
    • Journal Title

      Phys. Rev. B

      Volume: 90 Issue: 17 Pages: 174104-174104

    • DOI

      10.1103/physrevb.90.174104

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-12J02608, KAKENHI-PLANNED-25106005
  • [Journal Article] Accelerated Materials Design of Lithium Superionic Conductors Based on First-Principles Calculations and Machine Learning Algorithms2013

    • Author(s)
      Fujimura, Koji; Seko, Atsuto; Koyama, Yukinori; et al.
    • Journal Title

      Advanced Energy Materials

      Volume: 3 Issue: 8 Pages: 980-985

    • DOI

      10.1002/aenm.201300060

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23246111, KAKENHI-PROJECT-23686090, KAKENHI-PROJECT-24656370
  • [Journal Article] Accelerated Materials Design of Lithium Superionic Conductors Based on First-Principles Calculations and Machine Learning Algorithms2013

    • Author(s)
      Fujimura, Koji; Seko, Atsuto; Koyama, Yukinori; Kuwabara, Akihide; Kishida, Ippei; Shitara, Kazuki; Fisher, Craig A. J.; Moriwake, Hiroki and Tanaka, Isao
    • Journal Title

      Advanced Energy Materials

      Volume: Vol.3 Pages: 980-985

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24656370
  • [Journal Article] Structure and dynamics of oxide crystals at high temperatures by first principles calculations2012

    • Author(s)
      I. Tanaka, A. Seko, Y. Koyama and A. Togo
    • Journal Title

      AMTC Letters

      Volume: 3 Pages: 98-99

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Journal Article] First-principles calculations of the phase diagrams and band gaps in CuInSe_2-CuGaSe_2 and CuInSe_2-CuAlSe_2 pseudobinary systems2012

    • Author(s)
      Y. Kumagai, Y. Soda, F. Oba, A. Sekoand I. Tanaka
    • Journal Title

      Phys. Rev. B

      Volume: 85

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Journal Article] First-principles calculations of the phase diagrams and band gaps in CuInSe_2-CuGaSe_2 and CuAlSe_2-CuAlSe_2 pseudobinary systems2012

    • Author(s)
      Y.Kumagai, Y.Soda, F.Oba, A.Seko, I.Tanaka
    • Journal Title

      PHYS.REV.B

      Volume: 85 Issue: 3 Pages: 1-4

    • DOI

      10.1103/physrevb.85.033203

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-19053005, KAKENHI-PROJECT-23686089, KAKENHI-PROJECT-23686090
  • [Journal Article] 高精度第一原理計算に基づいたマテリアルズ・インフォマティクスの展開2012

    • Author(s)
      田中功, 世古敦人,大場史康,東後篤史
    • Journal Title

      工業材料

      Volume: 60 Pages: 23-26

    • Data Source
      KAKENHI-PROJECT-23686090
  • [Journal Article] First-principles molecular dynamics study for average structure and oxygen diffusivity at high temperature in cubic Bi2O32012

    • Author(s)
      A. Seko, Y. Koyama, A. Matsumoto and I. Tanaka
    • Journal Title

      J. Phys.: Condens. Matter

      Volume: 24 Issue: 47 Pages: 475402-475402

    • DOI

      10.1088/0953-8984/24/47/475402

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23686090, KAKENHI-PROJECT-24656370
  • [Journal Article] 第一原理熱力学に基づいた相平衡の高精度計算2012

    • Author(s)
      世古敦人
    • Journal Title

      まてりあ

      Volume: 51 Pages: 258-261

    • NAID

      10030630699

    • Data Source
      KAKENHI-PROJECT-23686090
  • [Journal Article] Ground-state search in multicomponent magnetic systems2012

    • Author(s)
      Y. Kumagai, A. Seko, F. Oba and I. Tanaka
    • Journal Title

      Phys. Rev. B

      Volume: 85

    • NAID

      120006528333

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Journal Article] Ground-state search in multicomponent magnetic systems2012

    • Author(s)
      Y.Kumagai, A.Seko, F.Oba, I.Tanaka
    • Journal Title

      PHYS.REV.B

      Volume: 85 Issue: 1 Pages: 1-4

    • DOI

      10.1103/physrevb.85.012401

    • NAID

      120006528333

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-19053005, KAKENHI-PROJECT-23246111, KAKENHI-PROJECT-23686089, KAKENHI-PROJECT-23686090
  • [Journal Article] First-principles molecular dynamics study for average structure and oxygen diffusivity at high temperature in cubic Bi_2O_32012

    • Author(s)
      A. Seko, Y. Koyama, A. Matsumoto and I. Tanaka
    • Journal Title

      J. Phys.: Condens. Matter

      Volume: 24

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Journal Article] Cluster expansion with controlled accuracy for the MgO/ZnO pseudobinary system via first-principles calculations2012

    • Author(s)
      B. Liu, A. Seko and I. Tanaka
    • Journal Title

      Phys. Rev. B

      Volume: 86

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Journal Article] Grouping of structures in cluster expansion of multicomponent systems2012

    • Author(s)
      A. Seko and I. Tanaka
    • Journal Title

      AMTC Letters

      Volume: 3 Pages: 114-115

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Journal Article] 第一原理熱力学計算によるセラミックス材料の相平衡2012

    • Author(s)
      世古敦人,熊谷悠,大場史康,田中功
    • Journal Title

      セラミックス

      Volume: 47 Pages: 494-499

    • NAID

      10031155570

    • Data Source
      KAKENHI-PROJECT-23686090
  • [Journal Article] 高精度第一原理計算に基づいた定量的な材料予測-マテリアルズ・インフォマティクスの展開2011

    • Author(s)
      田中功,東後篤史,世古敦人
    • Journal Title

      セラミックス

      Volume: 46 Pages: 450-455

    • NAID

      10030199971

    • Data Source
      KAKENHI-PROJECT-23686090
  • [Journal Article] Grouping of structures for cluster expansion of multicomponent systems with controlled accuracy2011

    • Author(s)
      A. Seko and I. Tanaka
    • Journal Title

      Phys. Rev. B

      Volume: 83

    • NAID

      120003338840

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Journal Article] Grouping of structures for cluster expans ion of multicomponent systems with controlled accuracy2011

    • Author(s)
      世古敦人, 田中功
    • Journal Title

      Physical Review B

      Volume: 83 Issue: 22

    • DOI

      10.1103/physrevb.83.224111

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23246111, KAKENHI-PROJECT-23686090
  • [Journal Article] Native defects in oxide semiconductors : A density functional approach2010

    • Author(s)
      F.Oba, M.Choi, A.Togo, A.Seko, I.Tanaka
    • Journal Title

      J.Phys.: Condens.Matter

      Volume: 22

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20246095
  • [Journal Article] Exploring structures and phase relationships of ceramics from first principles2010

    • Author(s)
      世古敦人
    • Journal Title

      Journal of the American Ceramic Society (in press)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Journal Article] Phase relationships and structures of inorganic crystals by combination of cluster expansion method and first principles calculations2010

    • Author(s)
      田中功, 世古敦人, 東後篤史, 小山幸典, 大場史康
    • Journal Title

      J. Phys.: Condens. Matter

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Journal Article] Thermodynamics and structures of oxide crystals by a systematic set of first principles calculations2010

    • Author(s)
      I.Tanaka, A.Togo, A.Seko, F.Oba, Y.Koyama, A.Kuwabara
    • Journal Title

      J.Mater.Chem.

      Volume: 20 Pages: 10335-10344

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20246095
  • [Journal Article] Native defects in oxide semiconductors : A density functional approach.2010

    • Author(s)
      F.Oba, M.Choi, A.Togo, A.Seko, I.Tanaka.
    • Journal Title

      J.Phys. : Condens.Matter Vol.22

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20246095
  • [Journal Article] Phase relationships and structures of inorganic crystals by combination of cluster expansion method and first princinles calculations2010

    • Author(s)
      I.Tanaka, A.Seko, A.Togo, Y.Koyama, F.Oba
    • Journal Title

      J. Phys. : Condens. Matter (In Press)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20246095
  • [Journal Article] Thermodynamics and structures of oxide crystals by a systematic set of first principles calculations.2010

    • Author(s)
      I.Tanaka, A.Togo, A.Seko, F.Oba, Y.Koyama, A.Kuwabara.
    • Journal Title

      J.Mater.Chem. Vol.20

      Pages: 10335-10344

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20246095
  • [Journal Article] Phase relationships and structures of inorganic crystals by combination of cluster expansion method and first principles2010

    • Author(s)
      田中功, 世古敦人, 東後篤史, 小山幸典, 大場史康
    • Journal Title

      Journal of Physics : Condensed Matter (in press)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Journal Article] Classification of spinel structures based on first-principles cluster expansion analysis2010

    • Author(s)
      世古敦人, 大場史康, 田中功
    • Journal Title

      Phys. Rev. B Vol.81

      Pages: 54114-54114

    • NAID

      120003477786

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Journal Article] Phase relationships and structures of inorganic crystals by combination of cluster expansion method and first principles calculations2010

    • Author(s)
      I.Tanaka, A.Seko, A.Togo, Y.Koyama, F.Oba.
    • Journal Title

      Journal of Physics-Condensed Matter Vol.22

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20246095
  • [Journal Article] Exploring structures and phase relationships of ceramics from first principles2010

    • Author(s)
      世古敦人
    • Journal Title

      J. Am. Ceram. Soc. Vol.93

      Pages: 1201-1214

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Journal Article] Classification of spinel structures based on first-principles cluster expansion analysis2010

    • Author(s)
      世古敦人, 大場史康, 田中功
    • Journal Title

      Physical Review B 81

      Pages: 0541141-7

    • NAID

      120003477786

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Journal Article] Cluster expansion method for multicomponent systems based on optimal selection of structures for density-functional theory calculations2009

    • Author(s)
      世古敦人, 小山幸典, 田中功
    • Journal Title

      Phys. Rev. B Vol.80

      Pages: 165122-165122

    • NAID

      120001815260

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Journal Article] Cluster expansion method for multicomponent systems based on optimal selection of structures for density-functional theory2009

    • Author(s)
      世古敦人, 小山幸典, 田中功
    • Journal Title

      Physical Review B 80

      Pages: 1651221-7

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Journal Article] Accelerated materials design of lithium superionic conductors based on first-principles calculations and machine learning algorithms

    • Author(s)
      K. Fujimura, A. Seko, Y. Koyama, A. Kuwabara, I. Kishida, K. Shitara, C. A. J. Fisher, H. Moriwake and I. Tanaka
    • Journal Title

      Adv. Energy Mater.

      Volume: (in press)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Presentation] Global structure optimization and metastable structure enumeration using polynomial machine learning potentials2024

    • Author(s)
      Atsuto Seko
    • Organizer
      APS March Meeting 2024
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K23024
  • [Presentation] 機械学習ポテンシャルリポジトリの構築とその応用2023

    • Author(s)
      世古敦人
    • Organizer
      第194回電子セラミック・プロセス研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K23024
  • [Presentation] Al-Cu 系における機械学習ポテンシャルを用いた大域的結晶構造探索2023

    • Author(s)
      若井颯音, 世古敦人, 田中 功
    • Organizer
      日本金属学会2023年秋期講演(第173回)大会
    • Data Source
      KAKENHI-PROJECT-23K23024
  • [Presentation] 第一原理計算と機械学習を用いた無機材料のモデリングとその応用2023

    • Author(s)
      世古敦人
    • Organizer
      分子研研究会「イオン液体インフォマティクスの発展にむけて」
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K23024
  • [Presentation] 液体状態に対する機械学習ポテンシャルの予測精度評価2023

    • Author(s)
      若井颯音, 世古敦人, 伊豆田 大智, 西山 隆之, 田中 功
    • Organizer
      日本金属学会2023年秋期講演(第173回)大会
    • Data Source
      KAKENHI-PROJECT-23K23024
  • [Presentation] 第一原理計算と機械学習を用いた原子間相互作用のモデリングと結晶構造探索2022

    • Author(s)
      世古敦人
    • Organizer
      セラミックス協会 年次大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K23024
  • [Presentation] Polynomial Machine Learning Potentials and Crystal Structure Optimization Using Machine Learning2022

    • Author(s)
      Atsuto Seko
    • Organizer
      MMM10
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K23024
  • [Presentation] 第一原理計算と機械学習を用いた原子間相互作用のモデリングと結晶構造探索2021

    • Author(s)
      世古敦人
    • Organizer
      MRM Forum 2021 tutorial
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H02419
  • [Presentation] 第一原理計算と機械学習を用いた原子間相互作用のモデリングと結晶構造探索2021

    • Author(s)
      世古 敦人
    • Organizer
      MRM Forum 2021 tutorial
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-19H05787
  • [Presentation] 第一原理計算と機械学習を用いた原子間相互作用のモデリングと結晶構造探索2021

    • Author(s)
      世古敦人
    • Organizer
      第5回固体化学フォーラム研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H02419
  • [Presentation] 第一原理計算と機械学習を用いた原子間相互作用のモデリングと結晶構造探索2021

    • Author(s)
      世古 敦人
    • Organizer
      第5回固体化学フォーラム研究会
    • Invited
    • Data Source
      KAKENHI-PLANNED-19H05787
  • [Presentation] 第一原理計算と機械学習による原子間ポテンシャルおよび結晶構造探索2020

    • Author(s)
      世古敦人
    • Organizer
      日本セラミックス協会 第33回秋季シンポジウム
    • Data Source
      KAKENHI-PLANNED-19H05787
  • [Presentation] 第一原理計算と機械学習による原子間ポテンシャルおよび結晶構造探索2020

    • Author(s)
      世古敦人
    • Organizer
      日本セラミックス協会 第33回秋季シンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H02419
  • [Presentation] 機械学習による原子間ポテンシャルおよび結晶構造探索2019

    • Author(s)
      世古敦人
    • Organizer
      レア・イベントの計算科学 第3回ワークショップ
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H02419
  • [Presentation] 第一原理計算・統計力学計算・機械学習による材料物性予測2019

    • Author(s)
      世古敦人
    • Organizer
      固体イオニクス討論会
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H02419
  • [Presentation] Group-theoretical high-order rotational invariants: Application to linearized machine learning interatomic potential2019

    • Author(s)
      Atsuto SEKO
    • Organizer
      ICMAT 2019
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H02419
  • [Presentation] 材料科学データにおける機械学習の応用2018

    • Author(s)
      世古敦人
    • Organizer
      日本物理学会共催シンポジウム(千葉)
    • Invited
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 単体金属の線形回帰ポテンシャルに対する予測精度の一般的傾向2018

    • Author(s)
      世古 敦人,高橋 亮,田中 功
    • Organizer
      日本金属学会春期大会(千葉)
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 大規模構造に対する線形回帰ポテンシャルの高精度化2018

    • Author(s)
      近藤 大介,世古 敦人,田中 功
    • Organizer
      日本金属学会春期大会(千葉)
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] Linearized machine learning interatomic potentials for metals and recommender system for the discovery of unknown materials2018

    • Author(s)
      A. Seko
    • Organizer
      Total Energy and Force Methods Workshop 2018 (Cambridge)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 線形回帰を用いたTiの高精度原子間ポテンシャル構築2017

    • Author(s)
      高橋亮,世古敦人,田中功
    • Organizer
      日本金属学会 2017年秋期講演大会
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 材料科学データに対する機械学習手法の応用2017

    • Author(s)
      世古敦人
    • Organizer
      加工プロセスによる材料新機能発現 第176委員会 第33回研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] Applications of machine learning to materials data2017

    • Author(s)
      A. Seko
    • Organizer
      IPAM workshop: Optimization and Optimal Control for Complex Energy and Property Landscapes (Los Angeles)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 精度保証付き線形回帰原子間ポテンシャルの構築について2017

    • Author(s)
      大槻祐介,高橋亮,世古敦人,田中功
    • Organizer
      日本金属学会 2017年秋期講演大会
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 行列およびテンソル分解を用いた新規無機化合物の推薦システム2017

    • Author(s)
      世古 敦人
    • Organizer
      日本金属学会2017年秋期講演大会
    • Data Source
      KAKENHI-PLANNED-25106005
  • [Presentation] 角度項を用いた線形回帰ポテンシャルの構築2017

    • Author(s)
      高橋亮,世古敦人,田中功
    • Organizer
      日本金属学会 2017年春期講演大会
    • Place of Presentation
      首都大学南大沢キャンパス
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 材料科学データに対する機械学習手法の応用2017

    • Author(s)
      世古敦人
    • Organizer
      情報・データ科学との連携・融合による物性物理・量子化学の新展開
    • Place of Presentation
      理研AICS
    • Invited
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 材料科学データにおける機械学習の応用2017

    • Author(s)
      世古敦人
    • Organizer
      触媒学会コンピュータの利用研究会セミナー(横浜)
    • Invited
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 材料科学データに対する機械学習の応用2017

    • Author(s)
      世古敦人
    • Organizer
      金属学会シンポジウム「データサイエンスと材料研究開発」
    • Place of Presentation
      東京
    • Invited
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 線形回帰ポテンシャルによる単体金属の物性値予測2016

    • Author(s)
      高橋亮,世古敦人,田中功
    • Organizer
      日本金属学会 2016年秋季講演大会
    • Place of Presentation
      大阪大学
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 第一原理計算と機械学習手法を使った材料物性予測2016

    • Author(s)
      世古敦人
    • Organizer
      第26回格子欠陥フォーラム
    • Place of Presentation
      京都市
    • Invited
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] First-principles interatomic potentials via compressed sensing2016

    • Author(s)
      Atsuto Seko
    • Organizer
      TMS 2016
    • Place of Presentation
      Nashville, USA
    • Year and Date
      2016-02-18
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] Applications of Machine Learning Techniques to First-principles Data2016

    • Author(s)
      Atsuto Seko
    • Organizer
      ENGE 2016
    • Place of Presentation
      Korea, Jeju
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 単体金属における原子間ポテンシャル関数の線形表現2016

    • Author(s)
      高橋亮,世古敦人,田中功
    • Organizer
      日本金属学会
    • Place of Presentation
      東京理科大学
    • Year and Date
      2016-03-24
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 第一原理計算と圧縮センシングによる高精度原子間ポテンシャルの構築2015

    • Author(s)
      世古敦人
    • Organizer
      第6回計算統計物理学研究会
    • Place of Presentation
      名古屋大学
    • Year and Date
      2015-11-21
    • Invited
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 第一原理計算の線形回帰による原子間ポテンシャル構築:多体間相互作用の寄与2015

    • Author(s)
      高橋亮,世古敦人,田中功
    • Organizer
      日本金属学会
    • Place of Presentation
      九州大学
    • Year and Date
      2015-09-17
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] 第一原理計算と圧縮センシングによる高精度原子間ポテンシャルの構築2015

    • Author(s)
      世古敦人,高橋亮,田中功
    • Organizer
      日本金属学会
    • Place of Presentation
      九州大学
    • Year and Date
      2015-09-17
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] First-principles interatomic potentials via compressed sensing2015

    • Author(s)
      Atsuto Seko
    • Organizer
      The 18th Asian Workshop on First-Principles Electronic Structure Calculations
    • Place of Presentation
      東京大学
    • Year and Date
      2015-11-10
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] First-principles interatomic potentials via compressed sensing2015

    • Author(s)
      Atsuto Seko
    • Organizer
      MRS Fall meeting 2015
    • Place of Presentation
      Boston, USA
    • Year and Date
      2015-12-02
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H04116
  • [Presentation] クラスター展開法による第一原理熱力学2013

    • Author(s)
      世古敦人
    • Organizer
      計算材料科学と数学の協働によるスマート材料デザイン手法の探索
    • Place of Presentation
      東北大学
    • Year and Date
      2013-03-13
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Presentation] クラスター展開法に基づいた第一原理熱力学計算2012

    • Author(s)
      世古敦人
    • Organizer
      計算材料科学のフロンティア勉強会
    • Place of Presentation
      大阪府池田市
    • Year and Date
      2012-03-09
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Presentation] クラスター展開法に基づいた第一原理熱力学計算2012

    • Author(s)
      世古敦人
    • Organizer
      物性物理学の視点からの二次電池研究
    • Place of Presentation
      筑波大学
    • Year and Date
      2012-10-22
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Presentation] MgAl_2O_4 スピネルにおける規則不規則現象の高精度第一原理熱力学計算2012

    • Author(s)
      世古敦人
    • Organizer
      日本金属学会春季大会
    • Place of Presentation
      横浜市
    • Year and Date
      2012-03-29
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Presentation] MgAl2O4スピネルにおける規則不規則現象の高精度第一原理熱力学計算2012

    • Author(s)
      世古敦人
    • Organizer
      日本金属学会春季大会
    • Place of Presentation
      横浜市
    • Year and Date
      2012-03-29
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Presentation] 規則構造の分類に基づいた高精度クラスター展開法による第一原理熱力学計算2011

    • Author(s)
      世古敦人
    • Organizer
      日本金属学会秋季大会
    • Place of Presentation
      宜野湾市
    • Year and Date
      2011-11-08
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Presentation] 複合酸化物における長距離クーロン相互作用を考慮した第一原理熱力学計算2011

    • Author(s)
      世古敦人
    • Organizer
      日本金属学会秋期大会
    • Place of Presentation
      宜野湾市
    • Year and Date
      2011-11-07
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Presentation] 複合酸化物における長距離クーロン相互作用を考慮した第一原理熱力学計算2011

    • Author(s)
      世古敦人
    • Organizer
      日本金属学会秋季大会
    • Place of Presentation
      沖縄市
    • Year and Date
      2011-11-07
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Presentation] 規則構造の分類に基づいた高精度クラスター展開法による第一原理熱力学計算2011

    • Author(s)
      世古敦人
    • Organizer
      日本金属学会春季大会
    • Place of Presentation
      沖縄市
    • Year and Date
      2011-11-08
    • Data Source
      KAKENHI-PROJECT-23686090
  • [Presentation] Cluster expansion method based on optimal selection of structures for density-functional theory calculations2010

    • Author(s)
      Atsuto Seko, et. al.
    • Organizer
      MRS-IMRC Mexico 2010
    • Place of Presentation
      Cancun, Mexico
    • Year and Date
      2010-08-18
    • Data Source
      KAKENHI-PROJECT-20246095
  • [Presentation] スピネル型酸化物における陽イオン分布の第一原理熱力学計算2010

    • Author(s)
      世古敦人
    • Organizer
      日本金属学会
    • Place of Presentation
      つくば市
    • Year and Date
      2010-03-29
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Presentation] スピネル型酸化物における陽イオン分布の第一原理熱力学計算2010

    • Author(s)
      世古敦人
    • Organizer
      日本金属学会春季大会
    • Place of Presentation
      筑波大学
    • Year and Date
      2010-03-29
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Presentation] Statistical Thermodynamics of Oxides by Combination of Cluster Expansion Method and First Principles Calculations2010

    • Author(s)
      I.Tanaka, A.Seko, A.Togo, F.Oba
    • Organizer
      The 2nd Int'l Symposium on Advanced Microscopy and Theoretical Calculations
    • Place of Presentation
      名古屋,日本
    • Year and Date
      2010-06-26
    • Data Source
      KAKENHI-PROJECT-20246095
  • [Presentation] Cluster expansion method based on optimal selection of structures for density-functional theory calculations2010

    • Author(s)
      A.Seko, Y.Koyama, I.Tanaka
    • Organizer
      MRS-IMRC Mexico 2010
    • Place of Presentation
      カンクン,メキシコ
    • Year and Date
      2010-08-18
    • Data Source
      KAKENHI-PROJECT-20246095
  • [Presentation] Phase Relationships of Ceramics by Combination of Cluster Expansion Method and First Principles Calculations2009

    • Author(s)
      Isao Tanaka, A.Seko, F.Oba, Y.Koyama, K.Matsunaga
    • Organizer
      Materials Science & Technology (MS&T'09)
    • Place of Presentation
      Pittsburgh, USA
    • Year and Date
      2009-10-28
    • Data Source
      KAKENHI-PROJECT-20246095
  • [Presentation] Prediction of structures and order-disorder phase transitions of spinel oxides2009

    • Author(s)
      世古敦人
    • Organizer
      MS&T 09
    • Place of Presentation
      Pittsburgh, USA
    • Year and Date
      2009-10-26
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Presentation] 正確な誤差指標に基づいたクラスター展開法2009

    • Author(s)
      世古敦人
    • Organizer
      日本金属学会
    • Place of Presentation
      東京工業大学
    • Year and Date
      2009-03-29
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Presentation] Prediction of structures and order-disorder phase transitions of spinel oxides2009

    • Author(s)
      世古敦人
    • Organizer
      MS&T 09
    • Place of Presentation
      ピッツバーグ, アメリカ合衆国
    • Year and Date
      2009-10-26
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Presentation] 正確な誤差指標に基づいたクラスター展開法2009

    • Author(s)
      世古敦人
    • Organizer
      日本金属学会春季大会
    • Place of Presentation
      東京工業大学
    • Year and Date
      2009-03-29
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Presentation] 逆スピネル型Mg2TiO4における規則不規則転移の第一原理熱力学計算による予測2008

    • Author(s)
      世古敦人
    • Organizer
      日本金属学会秋期大会
    • Place of Presentation
      熊本大学
    • Year and Date
      2008-09-25
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Presentation] 逆スピネル型Mg_2TiO_4における規則不規則転移の第一原理熱力学計算による予測2008

    • Author(s)
      世古敦人
    • Organizer
      日本金属学会
    • Place of Presentation
      熊本大学
    • Year and Date
      2008-09-25
    • Data Source
      KAKENHI-PROJECT-20760439
  • [Presentation] 網羅的第一原理計算と機械学習に基づいた化合物の融点予測

    • Author(s)
      世古 敦人
    • Organizer
      2013年日本金属学会秋期大会
    • Place of Presentation
      金沢市
    • Data Source
      KAKENHI-PLANNED-25106005
  • [Presentation] Special quasirandom structureによるイオン性化合物の不規則構造エネルギー計算

    • Author(s)
      世古敦人
    • Organizer
      2014年日本金属学会春期大会
    • Place of Presentation
      東京都
    • Data Source
      KAKENHI-PLANNED-25106005
  • 1.  TANAKA Isao (70183861)
    # of Collaborated Projects: 5 results
    # of Collaborated Products: 23 results
  • 2.  OBA Fumiyasu (90378795)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 8 results
  • 3.  HAYASHI Hiroyuki (50727419)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 4.  TOGO Atsushi (10610529)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  Mizoguchi Teruyasu (70422334)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 6.  吉矢 真人 (00399601)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  津田 宏治 (90357517)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 8.  豊浦 和明 (60590172)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 9.  柴田 基洋 (40780151)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 10.  石渡 晋太郎 (00525355)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 11.  野本 拓也 (60804200)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  藤井 進
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi