PNAS - Digital Rheometer Twin

Published: 14 April 2022| Version 1 | DOI: 10.17632/pm98pzpvv9.1
Contributors:
Mohammadamin Mahmoudabadbozchelou,
Krutarth Kamani,
Simon Rogers,
Safa Jamali

Description

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".

Files

Institutions

University of Illinois at Urbana-Champaign, Northeastern University

Categories

Experimental Design

License