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Journal Articles
- 2024
[j6]Mitsuaki Matsuo, Kai Fukami, Taichi Nakamura, Masaki Morimoto, Koji Fukagata
:
Reconstructing Three-Dimensional Bluff Body Wake from Sectional Flow Fields with Convolutional Neural Networks. SN Comput. Sci. 5(3): 306 (2024)- 2022
- [j5]Yuki Morita, Saleh Rezaeiravesh, N. Tabatabaei, Ricardo Vinuesa, Koji Fukagata, Philipp Schlatter:
Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems. J. Comput. Phys. 449: 110788 (2022) - [j4]Masaki Morimoto, Kai Fukami, Kai Zhang, Koji Fukagata:
Generalization techniques of neural networks for fluid flow estimation. Neural Comput. Appl. 34(5): 3647-3669 (2022) - [j3]Koji Fukagata:
Towards quantum computing of turbulence. Nat. Comput. Sci. 2(2): 68-69 (2022) - 2021
- [j2]Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira:
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. Nat. Mach. Intell. 3(11): 945-951 (2021) - [j1]Kai Fukami, Kazuto Hasegawa, Taichi Nakamura, Masaki Morimoto, Koji Fukagata:
Model Order Reduction with Neural Networks: Application to Laminar and Turbulent Flows. SN Comput. Sci. 2(6): 467 (2021)
Informal and Other Publications
- 2023
- [i3]Kai Fukami, Koji Fukagata, Kunihiko Taira:
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows. CoRR abs/2301.10937 (2023) - 2021
- [i2]Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira:
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. CoRR abs/2101.00554 (2021) - [i1]Masaki Morimoto, Kai Fukami, Romit Maulik, Ricardo Vinuesa, Koji Fukagata:
Assessments of model-form uncertainty using Gaussian stochastic weight averaging for fluid-flow regression. CoRR abs/2109.08248 (2021)
Coauthor Index
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