Foundation model for composite microstructures: Reconstruction, stiffness, and nonlinear behavior prediction

We present the Material Masked Autoencoder (MMAE), a self-supervised Vision Transformer pretrained on a large corpus of short-fiber composite images via masked image reconstruction. The pretrained MMAE learns latent representations that capture essential microstructural features and are broadly tran...

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Bibliographic Details

Published in:	Materials & Design
Main Authors:	Ting-Ju Wei, Chuin-Shan Chen
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Foundation model Composite material Transfer learning Self-supervised learning Masked autoencoder
Online Access:	http://www.sciencedirect.com/science/article/pii/S0264127525008172