Open AccessInvestigation of beryllium fracture properties in order to predict safety margin of reactor component
Author(s) -
I.N. Kallin
Publication year - 1963
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/4232231
Subject(s) - beryllium , boiling water reactor , margin (machine learning) , boiling , component (thermodynamics) , pressurized water reactor , nuclear engineering , light water reactor , fracture (geology) , environmental science , computer science , materials science , engineering , chemistry , composite material , thermodynamics , physics , organic chemistry , machine learning
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