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J-GLOBAL ID：201801013881875783   Update date: May. 02, 2024

Liu Lijun

リュウ レイクン | Liu Lijun
Affiliation and department：
Osaka University

About Osaka University


Research field  (4)： Metallic materials ,  Machine materials and mechanics ,  Computational science ,  High-performance computing
Research keywords  (9)： high performance computing ,  First-principles calculation ,  Machine learning ,  Multi-scale computation ,  Parallel-in-time ,  Molecular dynamics ,  Mechanics of materials ,  計算力学 ,  Numerical analysis
Research theme for competitive and other funds  (11)：
  • 2023 - 2027 ファンデルワールス材料で拓く熱輸送の時空間制御技術の確立
  • 2023 - 2026 時間並列計算と機械学習の融合による金属材料解析手法の確立
  • 2023 - 2024 Development of metallic materials b y constructing an innovative computing platform
  • 2020 - 2024 Active thermal transport control by carrier tuning in van der Waals materials
  • 2022 - 2023 Development of high-performance Mg alloys by innovative computing technologies
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Papers (18)：
  • Ying Han, Yubo Geng, Lijun Liu, Haoyuan Li. Accurate Description of Coulombic Interactions in Organic Field-Effect Transistors Enabled by Efficient 3D Poisson's Equation Solver with Mixed Boundary Conditions. Advanced Theory and Simulations. 2024
  • Lijun Liu, Misaki Miyake, Takumi Matsuda, Li Li, Yoji Shibutani. Analytical model for estimating calcium solution strengthening in single-crystal Mg-Ca alloys at finite temperatures. Materialia. 2023. 32. 101900. 1-6
  • Jianxiong Li, Tong Zhao, Zhuoqiang Guo, Shunchen Shi, Lijun Liu, Guangming Tan, Weile Jia, Guojun Yuan, Zhan Wang. Enhance the Strong Scaling of LAMMPS on Fugaku. The International Conference for High Performance Computing, Networking, Storage, and Analysis. 2023
  • Li Li, Lijun Liu, Yoji Shibutani. Atomistic Defect Interactions in Aluminum, Copper and Nickle: Edge Dislocations and <112>-axis Symmetric Tilt Grain Boundaries. Materials Transactions. 2023. 65. 1
  • Lijun Liu, Misaki Miyake, Li Li, Weile Jia, Yoji Shibutani. Numerical study on the ductility improvement mechanism of dilute Mg-Ca alloys. Computational Materials Science. 2023. 228. 112381. 1-7
ｍore...
Lectures and oral presentations  (18)：
  • 富岳における深層学習原子間ポテンシャルの性能最適化
    (第36回計算力学講演会 2023)
  • 固溶体効果によるMg合金の延性向上機構に関する分子動力学解析
    (M&M2023 材料力学カンファレンス 2023)
  • Large-scale Deep Learning Molecular Dynamics Simulations with Ab Initio Accuracy on Supercomputer Fugaku
    (14th International Conference on Computational Methods 2023)
  • 分子動力学解析によるMg-Ca合金の固溶強化の評価
    (第8回マルチスケール材料力学シンポジウム 2023)
  • Long-Time Molecular Dynamics: Parallel-in-Time Integration and Machine Learning Interatomic Potentials
    (14th WCCM & ECCOMAS Congress 2020 (Virtual congress ) 2021)
ｍore...
Education (2)：
  • 2009 - 2012 Kyushu University Graduate school of engineering Intelligent Machinery Systems
  • 2007 - 2009 South China University of Technology Solid Mechanics
Professional career (1)：
  • 博士(工学) (九州大学)
Work history (7)：
  • 2019/04 - 現在 Osaka University Department of Mechanical Engineering Assistant Professor
  • 2018/07 - 2019/03 Osaka University
  • 2017/11 - 2018/06 Nagoya University Information technology center Visiting Faculty Member
  • 2017/10 - 2018/06 Japan Science and Technology Agency ACT-I Researcher
  • 2015/09 - 2017/09 Nagoya University Information technology center Researcher
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Awards (1)：
  • 2023/06 - 日本材料学会 第8回マルチスケール材料力学シンポジウム優秀講演賞
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