3 papers
cond-mat.soft2026
Graph neural network for multitask prediction of rheological and microstructural behavior in suspensions
Armin Aminimajd, Joao Maia, Abhinendra Singh
Fast prediction of suspension rheology is fundamental for optimizing process efficiency and performance in numerous industrial settings. However, traditional simulations are comput…
cond-mat.soft2025
Robust Prediction of Frictional Contact Network in Near-Jamming Suspensions Employing Deep Graph Neural Networks
Armin Aminimajd, Joao Maia, Abhinendra Singh
The viscosity of the suspension consisting of fine particles dispersed in a Newtonian liquid diverges close to the jamming packing fraction. The contact microstructure in suspensio…
cond-mat.soft2025
Scalability of Graph Neural Network in Accurate Prediction of Frictional Contact Network in Suspensions
Armin Aminimajd, Joao Maia, Abhinendra Singh
Dense suspensions often exhibit shear thickening, characterized by a dramatic increase in viscosity under large external forcing. This behavior has recently been linked to the form…