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Filtering by: Committee Member Krane, Kenneth S. Contributor Palmer, Todd S.

Applying Machine Learning Algorithms to Identify Problematic Nuclear Data within Nuclear Transport Simulations

Creator:

Grechanuk, Pavel A.

Abstract:

The primary goal of this dissertation is to improve the quality of nuclear data available to the nuclear science community. We propose to accomplish this by applying machine learning algorithms to the large number of available benchmark experiments and simulations, with the goal of determining which nuclear data have strong...

Resource Type:

Dissertation

Full Text:

Simulations Abstract approved: Todd S. Palmer The primary goal of this dissertation is to improve the