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Updated: Sep 23, 2025

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Digital rheometer twins: Learning the hidden rheology of complex fluids through rheology-informed graph neural

Mohammadamin Mahmoudabadbozchelou1, Krutarth M Kamani2, Simon A Rogers2

  • 1Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115.

Proceedings of the National Academy of Sciences of the United States of America
|May 11, 2022
PubMed

Keywords:
data-driven constitutive modelingphysics-informed neural networksrheologyrheology-based machine learning

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