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Filtering by: Funder Japan Society for the Promotion of Science Type of work Dataset

1. Generating 3D voxelized architected materials using 3D conditional generative adversarial network

Description/Abstract:: This tutorial aims to give an introduction of how to use a deep generative model, 3D conditional generative adversarial network (3D-CGAN)...
Keyword:: Deep learning; Generative adversarial network; Inverse design; 3D shape; Microstructure; Mechanical metamaterial
Resource Type:: Software
Data origin:: informatics and data sciences
Author:: Xiaoyang Zheng and Ikumu Watanabe
Journal:: Science and Technology of Advanced Materials
Date Uploaded:: 14/09/2023

2. Tutorial for conditional generative adversarial network

Description/Abstract:: This tutorial aims to give an introduction of how to use a deep generative model, conditional generative adversarial network (CGAN). The ...
Keyword:: Deep learning; Generative adversarial network; Inverse design; Microstructure; Mechanical metamaterial
Resource Type:: Software
Data origin:: informatics and data science
Author:: Xiaoyang Zheng, Ta-Te Chen, Xiaofeng Guo, Sadaki Samitsu, and Ikumu Watanabe
Journal:: Materials & Design
Date Uploaded:: 21/03/2023