JAXA Supercomputer System Annual Report February 2024-January 2025 Report Number: R24EDA201N04 Subject Category: Aeronautical Technology PDF Responsible Representative: Kazuyuki Nakakita, Aviation Technology Directorate, Fundamental Aeronautics Research Unit Contact Information: Yuya Ohmichi(ohmichi.yuya@jaxa.jp) Members: Ken Fujino, Keita Nakamoto, Yuya Ohmichi, Kento Yamada Abstract Due to recent advancements in computing, numerical analysis, and experimental techniques, vast amounts of data are being produced, making advanced data analysis methods increasingly important. In this study, we are developing tools to automatically extract latent characteristic structures from・・・<<read more>>
JAXA Supercomputer System Annual Report February 2024-January 2025 Report Number: R24EDA201N14 Subject Category: Aeronautical Technology PDF Responsible Representative: Kazuyuki Nakakita, Aviation Technology Directorate, Fundamental Aeronautics Research Unit Contact Information: Yuki Ide(ide.yuki@jaxa.jp) Members: Yuki Ide, Kei Shimura Abstract research and development of icing simulation tools for CbA Reference URL N/A Reasons and benefits of using JAXA Supercomputer System Due to broadband time and spatial scales of ice accretation, huge computational resources and acceleration of computation by JSS are needed. Achievements of・・・<<read more>>
JAXA Supercomputer System Annual Report February 2024-January 2025 Report Number: R24EDA201P55 Subject Category: Aeronautical Technology PDF Responsible Representative: Atsushi Kanda, Aviation Technology Directorate, Aviation Environmental Sustainability Innovation Hub Contact Information: Keiichi Okai, Aeronautical Technology Directorate, Aviation Environmental Sustainability Innovation Hub(okai.keiichi@jaxa.jp) Members: Miyuki Aoki, Kakeru Ando, Junichi Kazawa, Kenta Kawano, Keiichi Okai Abstract This study focuses on the performance evaluation of an aircraft with boundary layer ingestion (BLI) which is expected to improve the fuel efficiency. The benefit of BLI was・・・<<read more>>
JAXA Supercomputer System Annual Report February 2024-January 2025 Report Number: R24EDA201S01 Subject Category: Aeronautical Technology PDF Responsible Representative: Daichi Wada, Aviation Technology Directorate, Aviation Integration Innovation Hub Contact Information: Daichi Wada(wada.daichi@jaxa.jp) Members: Shinsaku Hisada, Atsushi Osedo, Daichi Wada Abstract To develop autonomous control technique for a wearable aviation system. Reference URL N/A Reasons and benefits of using JAXA Supercomputer System Supercomputer parallel computing is effective for controller generation using deep reinforcement learning. Achievements of the Year To generate a attitude・・・<<read more>>
