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  1. AI Technology with Aid of Data-driven Method Makes EM Simulation and Optimization More Effective

    Hajime Igarashi, Hokkaido University

  2. Reduction of Optimal Design Time for IPMSMs for Automotive Applications Using Machine Learning

    Yuki Shimizu, Osaka Prefecture University

  3. New Opportunities for Motor Design – Electric and Hybrid Propulsion of Aircraft

    Bulent Sarlioglu, University of Wisconsin-Madison

  4. Analysis and Simplified Model of Induction Motor for Automotive Applications

    Akira Chiba, Tokyo Institute of Technology

  5. JMAG’s responses to user proposals

    Takashi Yamada, JSOL Corp.

  6. Model-Based Design Meets FEA Simulation – Improving Motor Control Development using High Fidelity Motor Models

    Tony Lennon, The MathWorks, Inc.

  7. Examination to Enhance Efficiency of Axial Gap Motors

    Masatsugu Takemoto, Hokkaido University

  8. Research on an integration motor to achieve high efficiency and high torque density

    Kan Akatsu, Shibaura Institute of Technology

  9. JMAG’s responses to user proposals

    Takashi Yamada, JSOL Corp.

  10. Simulating a motor hardware using an HIL system

    Ken Sieber, National Instruments Japan

  11. Model-Base Virtual Verification Method With Advanced PCB Simulation Technics

    Masanari Ueda, Mentor Graphics Japan Co., Ltd.

  12. Opening remarks, POWERSYS

    Vincent CAPRON, CTO

  13. JMAG: Recent developments and roadmap

    Takashi Yamada, JSOL Corp.

  14. The electric machine designer in the 21st century

    Tim Miller

  15. Design and parametric modelling of a synchronous reluctance machine

    Marcel Lehr, Technical University Darmstadt

  16. sunlight© pump – a small solar powered water pump developed using the JMAG toolchain

    Andrea Vezzini, Institute for Energy and Mobility Research – Bern University of Applied Sciences

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