PNAS - Digital Rheometer Twin
Published: 14 April 2022| Version 1 | DOI: 10.17632/pm98pzpvv9.1
Contributors:Mohammadamin Mahmoudabadbozchelou, Krutarth Kamani, Simon Rogers, Safa Jamali
Here, we are including the data used in the PNAS paper with doi of "https://doi.org/10.1073/pnas.2202234119" entitled "Digital rheometer twins: Learning the hidden rheology of complex fluids through rheology-informed graph neural networks".
University of Illinois at Urbana-Champaign, Northeastern University