Reconstruction of Random Structures Based on Generative Adversarial Networks: Statistical Variability of Mechanical and Morphological Properties

Reconstruction of Random Structures Based on Generative Adversarial Networks: Statistical Variability of Mechanical and Morphological Properties

Generative adversarial neural networks with a variational autoencoder (VAE-GANs) are actively used in the field of materials design. The synthesis of random structures with nonrepeated geometry and predetermined mechanical properties is important for solving various practical problems. Geometric par...

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Bibliographic Details
Main Authors: Mikhail Tashkinov, Yulia Pirogova, Evgeniy Kononov, Aleksandr Shalimov, Vadim V. Silberschmidt
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Mathematics
Subjects:
machine learning
VAE-GAN
random structure
reconstruction
morphometric analysis
statistical distributions
Online Access:https://www.mdpi.com/2227-7390/13/1/7
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