School personnel information

写真b

LIU LIJUN


Mail Address

Mail Address

Organization 【 display / non-display

  • 2018.07.01 - 2019.03.31, Department of Mechanical Engineering, Graduate School of Engineering, Assistant Professor

  • 2019.04.01 - , Department of Mechanical Engineering, Graduate School of Engineering, Assistant Professor

Employment Record 【 display / non-display

Toyota Motor Corporation 2012.10 - 2013.12
Nagoya University Graduate school of engineering Technical Assistant 2014.09 - 2015.03
Nagoya University Information technology center Researcher 2015.09 - 2017.09
Japan Science and Technology Agency ACT-I Researcher 2017.10 - 2018.06
Nagoya University Information technology center Visiting Faculty Member 2017.11 - 2018.06

Research topics 【 display / non-display

  • High performance computing
    High performance computing-related

  • Computational science
    Computational science-related

  • Materials/Mechanics of materials
    Mechanics of materials and materials-related

 

Academic Papers 【 display / non-display

  • Multiple-precision iterative methods for the solution of complex symmetric systems of electromagnetic analysis, Koki Masui, Masao Ogino, Lijun Liu , Numerical Methods for Flows in Lecture Notes in Computational Science and Engineering,Vol. 132, pp 321-329, 2020.02, Papers

  • Simulations of Organic Field-Effect Transistors by the Combination of Finite Difference Method and Kinetic Monte Carlo Method, Lijun Liu, Haoyuan Li, J.-L. Bredas, The proceedings of the 10th International Conference on the Computation Methods, 2019.07, International Conference(Proceedings)

  • Evaluation of An Efficient 3D Poisson Solver for Organic Field-Effect Transistors Simulation, Lijun Liu, Haoyuan Li, J.-L. Bredas, The proceedings of the 22nd Conference on the Computation of Electromagnetic Fields (COMPUMAG2019), 2019.07, International Conference(Proceedings)

  • Efficient Compression of Scientific Floating-Point Data and An Application in Structural Analysis, 劉 麗君, Transactions of the Japan Society for Computational Engineering and Science,2017 20170002, 2017.02, Papers

  • Performance evaluation of efficient data compression JHPCN-DF for large-scale structural analysis, 劉 麗君, Mechanical Engineering Letters,2 16-00119, 2016.03, Papers

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