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An adaptive, data-driven multiscale approach for dense granular flows

Siddani, B et al.
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40 engineering (for-2020), 4019 resources engineering and extractive metallurgy (for-2020), networking and information technology r&d (nitrd) (rcdc), machine learning and artificial intelligence (rcdc), bioengineering (rcdc), dense granular flows, granular rheology, multiscale modeling
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