Virtual microstructure design for steels using generative adversarial networks-Reference-Cited by-同舟云学术

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Virtual microstructure design for steels using generative adversarial networks

Published:2020-10-07 Issue:1 Volume:3 Page:
ISSN:2577-8196
Container-title:Engineering Reports
language:en
Short-container-title:Engineering Reports

Author:

Lee Jin‐Woong¹,Goo Nam Hoon²,Park Woon Bae³,Pyo Myungho³,Sohn Kee‐Sun¹^ORCID

Affiliation:

1. Faculty of Nanotechnology and Advanced Materials Engineering Sejong University Seoul Republic of Korea

2. Advanced Research Team Hyundai Steel DangJin Works DangJin Republic of Korea

3. Department of Printed Electronics Engineering Sunchon National University Chonnam Republic of Korea

Funder

National Research Foundation of Korea

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eng2.12274

Reference62 articles.

1. Random Heterogeneous Materials: Microstructure and Macroscopic Properties

2. Linking Morphology of Porous Media to Their Macroscopic Permeability by Deep Learning

3. Improving direct physical properties prediction of heterogeneous materials from imaging data via convolutional neural network and a morphology-aware generative model

4. A digital workflow for learning the reduced-order structure-property linkages for permeability of porous membranes

5. Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches

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2. Fast descriptor-based 2D and 3D microstructure reconstruction using the Portilla–Simoncelli algorithm;Engineering with Computers;2024-07-22

3. Prediction of the microstructure of cold-compacted Astaloy 85Mo with deep generative models;Computational Materials Science;2024-06

4. Overview: Machine Learning for Segmentation and Classification of Complex Steel Microstructures;Metals;2024-05-07

5. Deep convolutional generative adversarial network for generation of computed tomography images of discontinuously carbon fiber reinforced polymer microstructures;Scientific Reports;2024-04-26

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