Open access
Oct 2026
Scientific machine learning for modeling complex fluids with thixotropy and plasticity
By enabling physics-informed discovery of these internal processes and learning accurate constitutive relations for these complex fluids, the framework described significantly advances the modeling capabilities of rheological universal differential equations (RUDES).
Joshua David John Rathinara, Kyle R. Lennon, G. McKinley
· PNAS Nexus · 0 citations