Abstract
Research findings on Machine Learning are discussed in a new report. According to news reporting originating in Shenzhen, People's Republic of China, by NewsRx journalists, research stated, "The cracking behavior of microcapsules in cement-based self-healing materials is essential for releasing healing agents during crack healing. In this study, the extended finite element method and machine learning were combined to predict the competitive behavior of microcapsule debonding and rupture." Funders for this research include Key-Area Research and Development Program of Guangdong Province, National Key R&D Program of China, National Natural Science Foundation of China (NSFC), Shenzhen Science and Technology Innovation Commission, Guangdong Provincial Key Laboratory of Durability for Marine Civil Engineering (SZU), Shenzhen Key Laboratory for Low-carbon Construction Material and Technology.
NETL
NSTL
Elsevier