Open AccessThe Development of Models to Optimize Selection of Nuclear Fuels through Atomic-Level Simulation
Author(s) -
Simon R. Phillpot,
Susan B. Sinnott,
H. J. Seifert,
Prog. James Tulenko
Publication year - 2009
Language(s) - English
Resource type - Reports
DOI - 10.2172/947181
Subject(s) - thermal conductivity , selection (genetic algorithm) , thermal , statistical physics , materials science , nuclear engineering , computer science , thermodynamics , physics , engineering , artificial intelligence , composite material
Demonstrated that FRAPCON can be modified to accept data generated from first principles studies, and that the result obtained from the modified FRAPCON make sense in terms of the inputs. Determined the temperature dependence of the thermal conductivity of single crystal UO2 from atomistic simulation