Why doesn't uranium ore spontaneously undergo a chain reaction?
A. Uranium ore must be "weapons' grade" in order for it to undergo chain reaction.
B. Uranium ore is mostly non-fissionable isotope U-238 and undergoes a chain reaction only if mixed with a moderator to slow down the neutrons.
C. Uranium ore, mostly U-235, must be enriched with U-238 in order for it to undergo a chain reaction.
D. Uranium ore does spontaneously undergo slow chain reaction over time finally resulting in it becoming lead.
Answer: B
You might also like to view...
Which of the following minerals are called sheet silicates?
a) amphiboles b) feldspars c) olivines d) pyroxenes e) micas (biotite, muscovite, etc.)
What are the five controls of soil formation?
What will be an ideal response?
[NeedAttention]
src="data:image/png;base64,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
How has fossil diversity changed over time? Why do diversity trends differ among taxonomic levels?
What will be an ideal response?