Yamanaka Research Group@TUAT

Yamanaka Research Group@TUAT's repositories

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 Notebook1200

DNN-NMT

Computationally efficient numerical biaxial tensile testing for sheet metals using deep neural network

Language:PythonBSD-3-Clause7 20

phase_field_seminar

PCoMS seminar series 2022 @ Tohoku University

Language:Jupyter Notebook700

BOXVIA

Bayesian Optimization Excutable and Visualizable Application

Language:PythonBSD-3-Clause600

phase-field_GPU_benchmark

Benchmark problems of GPU computing of phase-field models

Language:Jupyter Notebook400

BayesTexOpt

BayesTexOpt: Computationally efficient crystallographic texture optimization using Bayesian Optimization and Deep Neural Network Material Testing (DNN-MNT).

Language:Python2 10

data_assimilation

Pythonによるデータ同化入門

Language:Jupyter Notebook100