Digital rheometer twins: Learning the hidden rheology of complex fluids through rheology-informed graph neural networks
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DOI: 10.1073/pnas.2202234119
Abstract: Significance Science-based data-driven methods that can describe the rheological behavior of complex fluids can be transformative across many disciplines. Digital rheometer twins, which are developed here, can significantly reduce the cost, time, and energy required… read more here.
Keywords: neural networks; rheometer twins; rheology; complex fluids ... See more keywords