NEUP CINR-24-31554: Inference of flow conditions from in-core detector measurements for accelerating SMR licensing

Reactor modelling relies on the detailed description of reactor systems but often lacks the true as-built characteristics of a system. This proposal seeks to fill these geometrical data gaps using available detector data, predictive models and machine learning in order to provide better information to analysis tools and thus better prediction of future performance.

Additional Info

Field	Value
Awarded Institution	Massachusetts Institute of Technology
PI	Benoit Forget