K-Extreme : Machine-learned survivability estimation.

Summary: K-Extreme is a machine-learned engine that provides conservative estimates of survivability by calculating the minimum damage capacity needed to survive single-event effects (SEE) such as: loss-of-coolant accidents in nuclear reactors, solar flares for space applications and nuclear detonation simulations for strategic defense applications. K-Extreme then takes into account the available data on different SEE and uses them to predict survivability in case of a new SEE.

Case Studies

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