Kai Fukami - Concepedia

Author

Kai Fukami

University of California, Los Angeles ORCID

Also Known As

Fukami, Kai, Kai FUKAMI, Kai Fukami

Publications

2.9K

Citations

H-Index

Concepts

All Affiliations

University of California, Los Angeles Keio University Argonne National Laboratory Florida State University Tohoku University

About

Kai Fukami is an author at University of California, Los Angeles specializing in engineering, data science, and fluid mechanics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	12	620
2	Computer Engineering	2	2	39
3	Natural Sciences	1	1	26
4	Biology	1	1	26
5	Cognitive Science	1	1	26

Kai Fukami

Publications

2.8K

Citations

H-Index

Page 1

	Year	Citations
Super-resolution reconstruction of turbulent flows with machine learning Kai Fukami, Koji Fukagata, Kunihiko Taira Journal of Fluid Mechanics	2019	707
Nonlinear mode decomposition with convolutional neural networks for fluid dynamics Takaaki Murata, Kai Fukami, Koji Fukagata Journal of Fluid Mechanics	2019	327
Assessment of supervised machine learning methods for fluid flows Kai Fukami, Koji Fukagata, Kunihiko Taira Theoretical and Computational Fluid Dynamics Fluid FlowsEngineeringMachine LearningData SciencePattern Recognition	2020	220
Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow Taichi Nakamura, Kai Fukami, Kazuto Hasegawa, Physics of Fluids	2021	199
Convolutional neural network based hierarchical autoencoder for nonlinear mode decomposition of fluid field data Kai Fukami, Taichi Nakamura, Koji Fukagata Physics of Fluids	2020	186
Probabilistic neural networks for fluid flow surrogate modeling and data recovery Romit Maulik, Kai Fukami, Nesar Ramachandra, Physical Review Fluids	2020	141
Super-resolution analysis via machine learning: a survey for fluid flows Kai Fukami, Koji Fukagata, Kunihiko Taira Theoretical and Computational Fluid Dynamics	2023	139
CNN-LSTM based reduced order modeling of two-dimensional unsteady flows around a circular cylinder at different Reynolds numbers Kazuto Hasegawa, Kai Fukami, Takaaki Murata, Fluid Dynamics Research	2020	138
Convolutional neural networks for fluid flow analysis: toward effective metamodeling and low dimensionalization Masaki Morimoto, Kai Fukami, Kai Zhang, Theoretical and Computational Fluid Dynamics Fluid Flow AnalysisEffective MetamodelingConvolutional Neural NetworkEngineeringMachine Learning	2021	123
Experimental velocity data estimation for imperfect particle images using machine learning Masaki Morimoto, Kai Fukami, Koji Fukagata Physics of Fluids	2021	92

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