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Digital rheometer twins: Learning the hidden rheology of complex fluids through rheology-informed graph neural networks.
Mahmoudabadbozchelou, Mohammadamin; Kamani, Krutarth M; Rogers, Simon A; Jamali, Safa.
Affiliation
  • Mahmoudabadbozchelou M; Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115.
  • Kamani KM; Department of Chemical and Biomolecular Engineering, University of Illinois Urbana-Champaign, Champaign, IL 61801.
  • Rogers SA; Department of Chemical and Biomolecular Engineering, University of Illinois Urbana-Champaign, Champaign, IL 61801.
  • Jamali S; Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115.
Proc Natl Acad Sci U S A ; 119(20): e2202234119, 2022 05 17.
Article in En | MEDLINE | ID: mdl-35544690

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Proc Natl Acad Sci U S A Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Proc Natl Acad Sci U S A Year: 2022 Document type: Article