Modelling, Data Analytics, and AI for Investigating Heterogeneous Substances

Explore the fascinating world of heterogeneous substances in this comprehensive lecture by Chenfeng Li at ICBS2024. Delve into the intricate structures of materials that exhibit heterogeneity at various observation scales, from those visible to the naked eye like concrete and soil, to microscopic structures in alloys and glass. Learn how the random distribution of multiple material phases, including pore spaces and voids, characterizes these substances. Discover the traditional approaches of experimental, theoretical, and numerical methods used to study heterogeneous materials. Gain insights into the cutting-edge integration of physics-based modeling, data analytics, and artificial intelligence, and understand how this synergy is revolutionizing the field, potentially leading to groundbreaking discoveries and rapid advancements in material science.

Chenfeng Li: Modelling, Data Analytics, and AI for Investigating Heterogeneous Substances #ICBS2024