JAXA Supercomputer System Annual Report February 2025-January 2026 Report Number: R25EDG10103 Subject Category: Research and Development PDF Responsible Representative: Masato Sakurai, Manager of ECLSS, Research Unit II, Aerospace RInsertHereD Directorate, JAXA Contact Information: Manager of ECLSS, Research Unit II, Aerospace RInsertHereD Directorate, JAXA(sakurai.masato@jaxa.jp) Members: Yuki Ban, Hikono Furuichi, Motoharu Kusano, Masato Sakurai, Ichiro Ueno Abstract In 2022, experiments in microgravity (LBPGE) were conducted on the ISS. This research aims to accumulate knowledge on liquid behavior in low-gravity environments and to・・・<<read more>>
JAXA Supercomputer System Annual Report February 2025-January 2026 Report Number: R25EDG10104 Subject Category: Research and Development PDF Responsible Representative: Manager of ECLSS, Research Unit 2, Aerospace RInsertHereD Directorate, JAXA Contact Information: Masato Sakurai(sakurai.masato@jaxa.jp) Members: Yuki Ban, Masato Sakurai, Ichiro Ueno Abstract This study focuses on RSA for gas-rich, gas-liquid two-phase flow generated by Sabatier reaction. Reference URL N/A Reasons and benefits of using JAXA Supercomputer System Numerical analysis of centrifuges makes it possible to evaluate various physical properties such as・・・<<read more>>
JAXA Supercomputer System Annual Report February 2025-January 2026 Report Number: R25EDG20104 Subject Category: Research and Development PDF Responsible Representative: Seiji Tsutsumi, RInsertHereD Manager, Research and Development Directorate, Research Unit III Contact Information: Seiji Tsutsumi(tsutsumi.seiji@jaxa.jp) Members: Masaharu Abe, Takanori Haga, Hiroyuki Ito, Yasuhito Okano, Seiji Tsutsumi Abstract This study focuses on predicting supersonic jet noise generated during the landing of a reusable rocket using computational fluid dynamics (CFD). The project aims to predict aerodynamic noise induced by the engine exhaust jet・・・<<read more>>
JAXA Supercomputer System Annual Report February 2025-January 2026 Report Number: R25EDG20112 Subject Category: Research and Development PDF Responsible Representative: Shimizu Taro, Research and Development Directorate Research Unit 3 Contact Information: koichiro ito(ito.koichiro@jaxa.jp) Members: Koichiro Ito, Ishihama Naoki Abstract We have developed a Vision-Language Model (VLM) for automatic document analysis within JAXA, focusing on creating a local model capable of interactive dialogue, especially with diagrams. In our experiments, we explored new instruction learning methods for diagram recognition. Reference URL N/A Reasons・・・<<read more>>
