Yamanaka Research Group@TUAT

Yamanaka lab@Tokyo University of Agriculture and Technology

Tokyo, Japan

Pinned Repositories

BayesTexOpt
BayesTexOpt: Computationally efficient crystallographic texture optimization using Bayesian Optimization and Deep Neural Network Material Testing (DNN-MNT).
Language:Python2 1 00
BOXVIA
Bayesian Optimization Excutable and Visualizable Application
Language:Python6 0 05
data_assimilation
Pythonによるデータ同化入門
Language:Jupyter Notebook1 0 00
DNN-NMT
Computationally efficient numerical biaxial tensile testing for sheet metals using deep neural network
Language:Python7 2 02
Introduction_to_phasefield
Pythonによるフェーズフィールド法入門 -基礎理論からデータ同化の実装まで- （丸善出版株式会社）に掲載のサンプルプログラムです。
Language:Jupyter Notebook17 0 01
phase-field_GPU_benchmark
Benchmark problems of GPU computing of phase-field models
Language:Jupyter Notebook8 0 00
phase_field_seminar
PCoMS seminar series 2022 @ Tohoku University
Language:Jupyter Notebook7 0 02

Yamanaka-Lab-TUAT/Introduction_to_phasefield
Pythonによるフェーズフィールド法入門 -基礎理論からデータ同化の実装まで- （丸善出版株式会社）に掲載のサンプルプログラムです。
Language:Jupyter Notebook17 0 01
Yamanaka-Lab-TUAT/phase-field_GPU_benchmark
Benchmark problems of GPU computing of phase-field models
Language:Jupyter Notebook8 0 00
Yamanaka-Lab-TUAT/DNN-NMT
Computationally efficient numerical biaxial tensile testing for sheet metals using deep neural network
Language:Python7 2 02
Yamanaka-Lab-TUAT/phase_field_seminar
PCoMS seminar series 2022 @ Tohoku University
Language:Jupyter Notebook7 0 02
Yamanaka-Lab-TUAT/BOXVIA
Bayesian Optimization Excutable and Visualizable Application
Language:Python6 0 05
Yamanaka-Lab-TUAT/BayesTexOpt
BayesTexOpt: Computationally efficient crystallographic texture optimization using Bayesian Optimization and Deep Neural Network Material Testing (DNN-MNT).
Language:Python2 1 00
Yamanaka-Lab-TUAT/data_assimilation
Pythonによるデータ同化入門
Language:Jupyter Notebook1 0 00