A review of generative adversarial networks (GANs) and its applications in a wide variety of disciplines: from medical to remote sensing
We look into Generative Adversarial Network (GAN), its prevalent variants and applications
in a number of sectors. GANs combine two neural networks that compete against one …
in a number of sectors. GANs combine two neural networks that compete against one …
Artificial intelligence in predicting mechanical properties of composite materials
The determination of mechanical properties plays a crucial role in utilizing composite
materials across multiple engineering disciplines. Recently, there has been substantial …
materials across multiple engineering disciplines. Recently, there has been substantial …
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties
We introduce a denoising diffusion algorithm to discover microstructures with nonlinear fine-
tuned properties. Denoising diffusion probabilistic models are generative models that use …
tuned properties. Denoising diffusion probabilistic models are generative models that use …
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics
Multiscale simulations are demanding in terms of computational resources. In the context of
continuum micromechanics, the multiscale problem arises from the need of inferring …
continuum micromechanics, the multiscale problem arises from the need of inferring …
Microstructure generation via generative adversarial network for heterogeneous, topologically complex 3D materials
Using a large-scale, experimentally captured 3D microstructure data set, we implement the
generative adversarial network (GAN) framework to learn and generate 3D microstructures …
generative adversarial network (GAN) framework to learn and generate 3D microstructures …
Virtual microstructure design for steels using generative adversarial networks
The prediction of macro‐scale materials properties from microstructures, and vice versa,
should be a key part in modeling quantitative microstructure‐physical property relationships …
should be a key part in modeling quantitative microstructure‐physical property relationships …