Taichi Nakamura

发表

Inserting machine-learned virtual wall velocity for large-eddy simulation of turbulent channel flows

Kai Fukami, K. Fukagata, Masaki Morimoto, 2021, 2106.09271.

Supervised convolutional network for three-dimensional fluid data reconstruction from sectional flow fields with adaptive super-resolution assistance

Kai Fukami, K. Fukagata, Masaki Morimoto, 2021, 2103.09020.

Robust training approach of neural networks for fluid flow state estimations

K. Fukagata, Taichi Nakamura, 2021, 2112.02751.

Robust training approach of neural networks for fluid flow state estimations

K. Fukagata, Taichi Nakamura, 2021, International Journal of Heat and Fluid Flow.

Title Essence of Shock Capturing (Recent Advances on Mathematical Aspects of Nonlinear Wave Phenomena)

Taichi Nakamura, 2020 .

C LUES FOR N OISE R OBUSTNESS OF S TATE E STIMA TION : E RROR - CURVE Q UEST OF N EURAL N ETWORK AND L INEAR R EGRESSION

Kai Fukami, K. Fukagata, Taichi Nakamura, 2021 .

A simple, robust and efficient high-order accurate shock-capturing scheme for compressible flows: Towards minimalism

Takuma Kato, Taichi Nakamura, Yuki Shibata, 2018, J. Comput. Phys..

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

Masaki Morimoto, Koji Fukagata, Kai Fukami, 2020, SN Computer Science.

Quantum self-learning Monte Carlo and quantum-inspired Fourier transform sampler

K. Fujii, N. Yamamoto, Taichi Nakamura, 2020, Physical Review Research.

Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow

Koji Fukagata, Kai Fukami, Yusuke Nabae, 2020, Physics of Fluids.

Identifying key differences between linear stochastic estimation and neural networks for fluid flow regressions

Kai Fukami, K. Fukagata, Taichi Nakamura, 2021, Scientific Reports.

Comparison of linear regressions and neural networks for fluid flow problems assisted with error-curve analysis

Kai Fukami, K. Fukagata, Taichi Nakamura, 2021 .

Convolutional neural network based hierarchical autoencoder for nonlinear mode decomposition of fluid field data

Kai Fukami, Koji Fukagata, Taichi Nakamura, 2020, Physics of Fluids.

Siamese-structure Deep Neural Network Recognizing Changes in Facial Expression According to the Degree of Smiling

Shin'ichi Satoh, Yuichi Nakamura, Kazuaki Kondo, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Extension of CNN-LSTM based reduced order surrogate for minimal turbulent channel flow

Kai Fukami, Koji Fukagata, Yusuke Nabae, 2020 .

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

Kai Fukami, K. Fukagata, Masaki Morimoto, 2021, SN Comput. Sci..