Research keywords (1):
Computational Thermal fluid dynamics
Research theme for competitive and other funds (2):
並列計算, MHD乱流の直接数値計算, Holographic PTV, 分子動力学計算
Parallel computing, DNS of MHD turbulent flow, Holographic PTV, Molecular dynamics simulation
Papers (177):
Noriyuki Unno, Junichiro Ono, Yuta Aoki, Kazuhisa Yuki, Yohji Seki, Shin-ichi Satake. Measuring subcooled boiling heat transfer on a CuCrZr surface to predict durability of a heat sink material for plasma-facing components. Fusion Engineering and Design. 2023. 194. 113867-113867
Junichiro Ono, Yuta Aoki, Noriyuki Unno, Kazuhisa Yuki, Koichi Suzuki, Yoshitaka Ueki, Shin-ichi Satake. Acoustic state detection of microbubble emission boiling using a deep neural network based on cepstrum analysis. International Journal of Multiphase Flow. 2023. 166. 104512
Kazuki Okamoto, Tomohito Wakasa, Jun Taniguchi, Shin-ichi Satake. Using Machine Learning to Predict the Durability of a Mold for Producing Nanostructures in Ultraviolet Nanoimprint Lithography. JOURNAL OF PHOTOPOLYMER SCIENCE AND TECHNOLOGY. 2023. 35. 2. 125-130
Tadashi Ando, Yusei Honda, Tomoki Yanagawa, Noriyuki Unno, Jun Taniguchi, Shin-ichi Satake. A 3D-Simulation and Experimental Study of the Fluid Flow Around a Nano-Step Structure Formed by UV-NIL. JOURNAL OF PHOTOPOLYMER SCIENCE AND TECHNOLOGY. 2023. 35. 2. 111-116
Yuta Aoki, Junichiro Ono, Tomohito Wakasa, Jun Taniguchi, Shin-ichi Satake. Prediction of Durability of the Mold for Production of Nanostructures in Ultraviolet Nanoimprint Lithography (UV-NIL) using Machine Learning. Proceedings of The 21st International Conference on Nanoimprint and Nanoprint Technologies (NNT2022). 2022. 6A-7-P18
Noriyuki Unno, Junichiro Ono, Yuta Aoki, Kazuhisa Yuki, Yohji Seki, Shin-ichi Satake. Experimental study of boiling heat transfer on CuCrZr for prediction of durability as heat sink material for plasma-facing components. Proc. of 32nd Symposium on Fusion Technology (SOFT2022)32nd Symposium on Fusion Technology (SOFT2022). 2022. P-1.210
Prediction of Durability of the Mold for Production of Nanostructures in Ultraviolet Nanoimprint Lithography (UV-NIL) using Machine Learning
(The 21st International Conference on Nanoimprint and Nanoprint Technologies (NNT2022) 2022)
Experimental study of boiling heat transfer on CuCrZr for prediction of durability as heat sink material for plasma-facing components
(32nd Symposium on Fusion Technology (SOFT2022) 2022)
Using Machine Learning to Predict the Durability of a Mold for Producing Nanostructures in Ultraviolet Nanoimprint Lithography
(The 39th International Conference of Photopolymer Science and Technology 2022)
JSME
, The Japan Society of Fluid Mechanics
, 日本流体力学会
, The Japan Society of Mechanical Engineers
, 日本機械学会
, The heat transfer society of Japan
, Heat Transfer Society of Japan
, 日本伝熱学会
, 情報処理学会