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- Title
Predicting the Mechanical Behavior of a Bioinspired Nanocomposite through Machine Learning.
- Authors
Xingzi Yang; WeiGao; XiaoduWang; Xiaowei Zeng
- Abstract
The bioinspired nacre or bone structure represents a remarkable example of tough, strong, lightweight, and multifunctional structures inbiologicalmaterials that canbe an inspirationtodesignbioinspiredhigh-performance materials. The bioinspired structure consists of hard grains and soft material interfaces.While thematerial interface has a very low volume percentage, its property has the ability to determine the bulk material response. Machine learning technology nowadays is widely used in material science. Amachine learning model was utilized to predict the material response based on the material interface properties in a bioinspired nanocomposite. This model was trained on a comprehensive dataset of material response and interface properties, allowing it to make accurate predictions. The results of this study demonstrate the efficiency and high accuracy of the machine learning model. The successful application of machine learning into the material property prediction process has the potential to greatly enhance both the efficiency and accuracy of the material design process.
- Subjects
NANOCOMPOSITE materials; MACHINE learning; MANUFACTURING processes; MATERIALS science; MACHINING
- Publication
CMES-Computer Modeling in Engineering & Sciences, 2024, Vol 140, Issue 2, p1299
- ISSN
1526-1492
- Publication type
Article
- DOI
10.32604/cmes.2024.049371