Rchr
J-GLOBAL ID：201901018884950580
Update date: Jan. 30, 2024
HASEGAWA Yuta
HASEGAWA Yuta
Affiliation and department：
Research field (2)：
Fluid engineering
, High-performance computing
Research keywords (5)：
アンサンブルカルマンフィルタ
, Computational Fluid Dynanics
, C++
, GPU Computing
, Lattice Boltzmann Method
Research theme for competitive and other funds (3)：
- 2021 - 2024 観測密度を上回る高解像度の都市風況LESに対するデータ同化手法の開発
- 2019 - 2021 GPUスパコンを用いた都市風況解析の実時間アンサンブルデータ同化
- 2020 - 汚染物質拡散解析コードにおけるアンサンブル計算およびデータ同化手法の高度化
Papers (12)：
-
Yuta Hasegawa, Naoyuki Onodera, Yuuichi Asahi, Takuya Ina, Toshiyuki Imamura, Yasuhiro Idomura. Continuous data assimilation of large eddy simulation by lattice Boltzmann method and local ensemble transform Kalman filter (LBM-LETKF). Fluid Dynamics Research. 2023. 55. 6. 065501
-
Takuma Kawamura, Yuta Hasegawa, Yasuhiro Idomura. Interactive steering on in situ particle-based volume rendering framework. Journal of Visualization. 2023. 27. 1. 89-107
-
Yuuichi Asahi, Naoyuki Onodera, Yuta Hasegawa, Takashi Shimokawabe, Hayato Shiba, Yasuhiro Idomura. CityTransformer: A Transformer-Based Model for Contaminant Dispersion Prediction in a Realistic Urban Area. Boundary-Layer Meteorology. 2023. 186. 3. 659-692
-
Yuta Hasegawa, Toshiyuki Imamura, Takuya Ina, Naoyuki Onodera, Yuuichi Asahi, Yasuhiro Idomura. GPU Optimization of Lattice Boltzmann Method with Local Ensemble Transform Kalman Filter. 2022 IEEE/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems (ScalAH). 2022
-
Hiromasa Nakayama, Naoyuki Onodera, Daiki Satoh, Haruyasu Nagai, Yuta Hasegawa, Yasuhiro Idomura. Development of local-scale high-resolution atmospheric dispersion and dose assessment system. Journal of Nuclear Science and Technology. 2022. 59. 10. 1314-1329
ｍore...
MISC (4)：
-
Aoki Takayuki, Hasegawa Yuta. A Large-scale aerodynamics study on bicycle racing. Jidosha Gijutsu. 2020. 74. 4. 18-23
-
青木 尊之, 長谷川 雄太. 自転車レースにおける最適な位置取りをシミュレーションで明らかに. 「京」を中核とするHPCI利用研究課題成果事例集. 2020. 7
-
長谷川 雄太. 格子ボルツマン法への適合細分化格子法の導入と複数GPU化のための諸実装. 第32回LBM研究会. 2019
-
細分化格子LBMの複数GPU計算に基づく自転車の集団走行の空力計算. ながれ: 日本流体力学会誌 〔特集〕注目研究 in CFD32. 2019. 38. 97-100
Lectures and oral presentations (60)：
-
Large-eddy simulation of metropolitan Tokyo using locally mesh-refined lattice Boltzmann method
(第37回数値流体力学シンポジウム)
-
Choice of state vector in lattice Boltzmann method with local ensemble transform Kalman filter
(第37回数値流体力学シンポジウム)
-
Performance portability of Ensemble Kalman Filter using C++ senders/receivers
(2023 Open Accelerated Computing Summit (OACS))
-
Panel on high performance computing; Exascale CFD plan in JAEA-CCSE: Towards digital twin of urban wind environment
(20th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH-20))
-
Generating observation guided ensembles for data assimilation with denosing diffusion probabilistic model
(40th International Conference on Machine Learning (ICML 2023))
ｍore...
Education (1)：
- 2016 - 2019 Tokyo Institute of Technology School of Engineering Department of Mechanical Engineering
Professional career (1)：
Work history (1)：
- 2019/04 - 現在 Japan Atomic Energy Agency Center for Computational Science and e-Systems
Committee career (1)：
- 2019/11 - 現在 日本計算工学会 計算工学講演会 実行委員会 委員
Awards (2)：
- 2022/03 - 第19回(令和3年度)日本原子力学会 計算科学技術部会 部会CG賞
- 2022/03 - 第19回(令和3年度)日本原子力学会 計算科学技術部会 部会奨励賞
Association Membership(s) (2)：
ATOMIC ENERGY SOCIETY OF JAPAN
, THE JAPAN SOCIETY FOR COMPUTATIONAL ENGINEERING AND SCIENCE
