Toward Learning Latent-Variable Representations of Microstructures by Optimizing in Spatial Statistics Space

arXiv:2402.11103v1 Announce Type: new
Abstract: In Materials Science, material development involves evaluating and optimizing the internal structures of the material, generically referred to as microstructures. Microstructures structure is stochastic, analogously to image textures. A particular microstructure can be well characterized by its spatial statistics, analogously to image texture being characterized by the response to a Fourier-like filter bank. Material design would benefit from low-dimensional representation of microstructures Paulson et al. (2017).
In this work, we train a Variational Autoencoders (VAE) …

abstract arxiv cond-mat.mtrl-sci cs.lg development image material materials materials science science space spatial statistics stochastic texture type