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Hydrodynamic parameter estimation using statistical machine learning for dynamic radiography

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Abstract

Characterization of material properties of objects undergoing strong deformations is an important task in material science. Using neural networks with dynamic features extracted from radiographic projections we obtain physics parameter estimates and characterize materials.

© 2023 The Author(s)

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