94 citations · 94 across the 4 of their papers we have counts for
4 papers
A Roadmap for Applying Graph Neural Networks to Numerical Data: Insights from Cementitious Materials
Mahmuda Sharmin, Taihao Han, Jie Huang +3
Machine learning (ML) has been increasingly applied in concrete research to optimize performance and mixture design. However, one major challenge in applying ML to cementitious mat…
Direct Experimental Evidence for Differing Reactivity Alterations of Minerals following Irradiation: The Case of Calcite and Quartz
Isabella Pignatelli, Aditya Kumar, Kevin G. Field +5
Concrete, a mixture formed by mixing cement, water, and fine and coarse mineral aggregates is used in the construction of nuclear power plants (NPPs), e.g., to construct the reacto…
Topological Control on Silicates Dissolution Kinetics
Isabella Pignatelli, Aditya Kumar, Mathieu Bauchy +1
Like many others, silicate solids dissolve when placed in contact with water. In a given aqueous environment, the dissolution rate depends highly on the composition and the structu…
Does a dissolution-precipitation mechanism explain concrete creep in moist environments?
Isabella Pignatelli, Aditya Kumar, Rouhollah Alizadeh +3
Long-term creep (i.e., deformation under sustained load) is a significant material response that needs to be accounted for in concrete structural design. However, the nature and or…