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Kai Fukami

Showing results (1-10 of 5) with videos related to

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Nature Communications|October 14, 2023
Grasping extreme aerodynamics on a low-dimensional manifoldKai Fukami, Kunihiko Taira
Scientific Reports|March 9, 2022
Identifying key differences between linear stochastic estimation and neural networks for fluid flow regressionsTaichi Nakamura, Kai Fukami, Koji Fukagata
Chaos (Woodbury, N.Y.)|June 3, 2024
Phase autoencoder for limit-cycle oscillatorsKoichiro Yawata, Kai Fukami, Kunihiko Taira, et al.
Physical Review. E|January 21, 2026
Phase autoencoder for rapid data-driven synchronization of rhythmic spatiotemporal patternsKoichiro Yawata, Ryo Sakuma, Kai Fukami, et al.
Communications Engineering|November 20, 2024
Aerodynamics-guided machine learning for design optimization of electric vehiclesJonathan Tran, Kai Fukami, Kenta Inada, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Nature Communications|October 14, 2023
Grasping extreme aerodynamics on a low-dimensional manifoldKai Fukami, Kunihiko Taira
Scientific Reports|March 9, 2022
Identifying key differences between linear stochastic estimation and neural networks for fluid flow regressionsTaichi Nakamura, Kai Fukami, Koji Fukagata
Chaos (Woodbury, N.Y.)|June 3, 2024
Phase autoencoder for limit-cycle oscillatorsKoichiro Yawata, Kai Fukami, Kunihiko Taira, et al.
Physical Review. E|January 21, 2026
Phase autoencoder for rapid data-driven synchronization of rhythmic spatiotemporal patternsKoichiro Yawata, Ryo Sakuma, Kai Fukami, et al.
Communications Engineering|November 20, 2024
Aerodynamics-guided machine learning for design optimization of electric vehiclesJonathan Tran, Kai Fukami, Kenta Inada, et al.
Pageof 1