Multimodal Machine Learning for Soft High-k Elastomers under Data Scarcity
To overcome data scarcity in developing soft high-dielectric elastomers, this paper presents a curated dataset of acrylate-based materials and a multimodal machine learning framework that leverages pretrained polymer representations to enable accurate few-shot prediction of dielectric and mechanical properties.