Part 1. Multi-scale Insights for Cement-based Systems

• Establishing a database of multi-scale pore characteristics, including shape, distribution, and connectivity

• Understanding property changes in eco-friendly concrete based on pore structure characteristics

Part 2. AI-powered Applications of Cementitious Materials

• Analyzing the relationship between hydrates structures and mechanical properties using deep learning

• Collaborating with cement and construction industries to apply analysis results to quality control and performance prediction systems

Part 3. AI-driven Multi-scale Experimental Analysis

• Capturing pore structure images using X-ray nanoimaging and Micro-CT; developing automatic classification algorithms using deep learning

• Developing an integrated performance prediction model that links material characteristics