Training and Validation Dataset of MgAl2O4 SEM Fracture Images for "Toward Quantitative Fractography Using Convolutional Neural Networks"

Name: Training and Validation Dataset of MgAl2O4 SEM Fracture Images for "Toward Quantitative Fractography Using Convolutional Neural Networks"
Creator: Materials Data Facility
Published: 2019-07-30T18:10:58+08:00

DataCite Commons2024-02-26 更新2024-07-13 收录

材料断裂分析

深度学习

数据链接：

https://www.materialsdatafacility.org/detail/tsopanidis_training_validation_networks_v1.1 数据链接链接失效反馈

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资源简介：

This is a dataset of SEM fracture images for training and validation of deep learning algorithms. The fracture surfaces of the MgAl2O4 ceramic material can be used to train a convolutional neural network for identifying the intergranular and transgranular fracture modes. European Union's Horizon2020 Programme (Excellent Science, Marie-Sklodowska-Curie Actions) under REA grant agreement 675602 (Project OUTCOME) Contact: Stylianos Tsopanidis <tsopanidisstelios@gmail.com> or Shmuel Osovski <shmuliko@technion.ac.il>

提供机构：

Materials Data Facility

创建时间：

2019-07-30