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Development and Application of a Data-Driven Methodology for Validation of Risk-Informed Safety Margin Characterization Models
Author(s) -
Nam Dinh,
Abhinav Gupta,
Igor A. Bolotnov,
John W. Baugh,
Maria Avramova,
Hany S. AbdelKhalik,
Xiaodong Sun,
Philippe M. Bardet,
J. W. Lane,
R.T. Sewell,
Ramprasad Sampath,
Steven Prescott,
Cristian Rabiti,
Robert Youngblood,
Weiju Ren
Publication year - 2021
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1776813
Subject(s) - margin (machine learning) , characterization (materials science) , model validation , computer science , reliability engineering , risk analysis (engineering) , data science , engineering , materials science , business , nanotechnology , machine learning

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