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Zong-Jin Li

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Open access Sep 2026

Machine Learning Potential for Calcium Silicate Hydrates With Broad Compositional and Structural Diversity

ABSTRACT Calcium silicate hydrate (C–S–H), the primary hydration product of cement, governs the strength and durability of concrete but remains difficult to model due to its chemical heterogeneity and disordered nanostructure. Machine learning potentials (MLPs) offer a route to extend quantum accuracy to large‐scale si...

Yun-Jian Li, Cheng Chen, R. Pellenq et al. · 0 citations
Sep 2026

Machine-learning prediction and multi-objective optimization of concrete sulfate resistance

Sulfate attack progressively deteriorates concrete in marine, saline-soil, and sulfate-rich environments. This study developed an interpretable machine-learning and multi-objective optimization framework for sulfate-resistance-oriented concrete design. A literature-based dataset containing 744 records from 21 publicati...

Yi-Hang Guo, Jia-Yu Li, Li Li et al. · 0 citations

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