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Integrating uncertainty into deep learning models for enhanced prediction of nanocomposite materials’ mechanical properties

In this paper, we present a novel deep-learning framework that incorporates quantified uncertainty for predicting the mechanical properties of nanocomposite materials, specifically taking into account their morphology and composition. Due to the intricate microstructures of nanocomposites and their...

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Autors principals: Yuheng Wang, Guang Lin, Shengfeng Yang
Format: Artigo
Idioma:Inglês
Publicat: AIP Publishing LLC 2024-03-01
Col·lecció:APL Machine Learning
Accés en línia:http://dx.doi.org/10.1063/5.0177062
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