Hourly Work of 3D Microstructural Visualization of Dual Phase Steels by SliceGAN-Reference-Cited by-同舟云学术

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Hourly Work of 3D Microstructural Visualization of Dual Phase Steels by SliceGAN

Published:2022-04-15 Issue:7 Volume:5 Page:2200132
ISSN:2513-0390
Container-title:Advanced Theory and Simulations
language:en
Short-container-title:Advcd Theory and Sims

Author:

Sugiura Keiya¹,Ogawa Toshio¹,Adachi Yoshitaka¹^ORCID

Affiliation:

1. Department of Materials Science and Engineering Nagoya University Furo‐cho Chikusa‐ku, Nagoya 464‐8601 Japan

Funder

Japan Science and Technology Agency

Publisher

Wiley

Subject

Multidisciplinary,Modeling and Simulation,Numerical Analysis,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.202200132

Reference15 articles.

1. Microstructural Materials Design Via Deep Adversarial Learning Methodology

2. Reconstruction of three-dimensional porous media using generative adversarial neural networks

3. Virtual microstructure design for steels using generative adversarial networks

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparative study of the experimentally observed and GAN-generated 3D microstructures in dual-phase steels;Science and Technology of Advanced Materials;2024-08-15

2. Metallurgical Alchemy: Synthesizing Steel Microstructure Images Using DCGANs;Applied Sciences;2024-07-25

3. Analysis of the strength–ductility balance of dual-phase steel using a combination of generative adversarial networks and finite element method;Computational Materials Science;2024-07

4. Maximization of Strength–Ductility Balance of Dual-Phase Steels Using Generative Adversarial Networks and Bayesian Optimization;2024

5. Evaluation of Austenite–Ferrite Phase Transformation in Carbon Steel Using Bayesian Optimized Cellular Automaton Simulation;Materials;2023-10-28

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