JAXA Supercomputer System Annual Report February 2021-January 2022 Report Number: R21EACA39 Subject Category: JSS Inter-University Research PDF Responsible Representative: Masanobu Inubushi, Associate Professor, Tokyo University of Science Contact Information: Masanobu Inubushi(inubushi@rs.tus.ac.jp) Members: Susumu Goto, Masanobu Inubushi, Kensuke Nakatani Abstract Turbulence models play essential roles in aerospace science and technology, such as flows around aircraft and of planetary atmospheres. They are rapidly empowered by machine learning methods (Duraisamy, Iaccarino, and Xiao, 2019) and will be a crucial building block of aerospace・・・<<read more>>
JAXA Supercomputer System Annual Report February 2021-January 2022 Report Number: R21EK2305 Subject Category: Space Technology PDF Responsible Representative: Masashi Okada, Project manager, H3 Project Team Contact Information: Atsuhiro Tsunoda(tsunoda.atsuhiro@jaxa.jp) Members: Mizuho Aotsuka, Takashi Goto, Ittetsu Inuzuka, Hideyo Negishi, Wataru Sato, Atsuhiro Tsunoda, Satoshi Ukai Abstract Design evaluation using numerical simulation is carried out for technical issues of the LE-9 engine turbo pump. Please refer to the following URL: http://global.jaxa.jp/projects/rockets/h3/ Reference URL N/A Reasons and benefits of using JAXA Supercomputer System・・・<<read more>>
JAXA Supercomputer System Annual Report February 2021-January 2022 Report Number: R21EA0716 Subject Category: Aeronautical Technology PDF Responsible Representative: Tatsuya Ishii, Aeronautical Technology Directorate, Aviation Environmental Sustainability Innovation Hub Contact Information: Shunji ENOMOTO(enomoto.shunji@jaxa.jp) Members: Shunji Enomoto, Hideshi Oinuma, Kenichiro Nagai, Junichi Oki, Tatsuya Ishii Abstract Ultra high bypass ratio aviation jet engines have a smaller sound absorbing liner area than conventional engines. In this project, we will develop sound-absorbing device technology that provides high noise reduction performance even with a small-sized・・・<<read more>>
JAXA Supercomputer System Annual Report February 2021-January 2022 Report Number: R21EDA201N04 Subject Category: Aeronautical Technology PDF Responsible Representative: Takashi Aoyama, Aeronautical Technology Directorate, Numerical Simulation Research Unit Contact Information: OHMICHI, Yuya(ohmichi.yuya@jaxa.jp) Members: Mami Hayakawa, Keita Nakamoto, Yuya Ohmichi, Kohmi Takahashi, Kento Yamada Abstract Knowledge extraction techniques for large datasets are important because the computers and numerical simulation techniques have been highly developed and they are producing a huge amount of data. In this study, we have been developing knowledge extraction・・・<<read more>>
