Koji Fukagata

According to our database, Koji Fukagata authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reconstructing Three-Dimensional Bluff Body Wake from Sectional Flow Fields with Convolutional Neural Networks.

Mitsuaki Matsuo, Kai Fukami, Taichi Nakamura, Masaki Morimoto, Koji Fukagata

SN Comput. Sci., March, 2024

2023

Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows.

Kai Fukami, Koji Fukagata, Kunihiko Taira

CoRR, 2023

2022

Towards quantum computing of turbulence.

Koji Fukagata

Nat. Comput. Sci., 2022

Generalization techniques of neural networks for fluid flow estimation.

Masaki Morimoto, Kai Fukami, Kai Zhang, Koji Fukagata

Neural Comput. Appl., 2022

Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems.

Yuki Morita, Saleh Rezaeiravesh, N. Tabatabaei, Ricardo Vinuesa, Koji Fukagata, Philipp Schlatter

J. Comput. Phys., 2022

2021

Model Order Reduction with Neural Networks: Application to Laminar and Turbulent Flows.

Kai Fukami, Kazuto Hasegawa, Taichi Nakamura, Masaki Morimoto, Koji Fukagata

SN Comput. Sci., 2021

Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning.

Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira

Nat. Mach. Intell., 2021

Assessments of model-form uncertainty using Gaussian stochastic weight averaging for fluid-flow regression.

Masaki Morimoto, Kai Fukami, Romit Maulik, Ricardo Vinuesa, Koji Fukagata

CoRR, 2021