Predicting shock-induced cavitation using machine learning: implications for blast-injury models
Jenny L. Marsh,
Laura Zinnel,
Sarah A. Bentil
Abstract:While cavitation has been suspected as a mechanism of blast-induced traumatic brain injury (bTBI) for a number of years, this phenomenon remains difficult to study due to the current inability to measure cavitation in vivo. Therefore, numerical simulations are often implemented to study cavitation in the brain and surrounding fluids after blast exposure. However, these simulations need to be validated with the results from cavitation experiments. Machine learning algorithms have not generally been applied to s… Show more
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