From Processing to Performance: A Multi-Scale Machine Learning Framework for SBS-Modified Asphalt Gels with Multi-Target Correlation and Explainable AI
A multi-scale machine learning framework is proposed to establish processing–composition–structure–performance mappings for SBS-modified asphalt gels and enables accurate and interpretable prediction of gel properties and provides a data-driven foundation for material design.
Zongyuan Wu, Xiao-Yu Ma, Mengxin Qiu et al.
· Gels · 0 citations