ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
May 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
June 2026
Nuclear Technology
Fusion Science and Technology
Latest News
NRC proposes changes to its rules on nuclear materials
In response to Executive Order 14300, “Ordering the Reform of the Nuclear Regulatory Commission,” the NRC is proposing sweeping changes to its rules governing the use of nuclear materials that are widely used in industry, medicine, and research. The changes would amend NRC regulations for the licensing of nuclear byproduct material, some source material, and some special nuclear material.
As published in the May 18 Federal Register, the NRC is seeking public comment on this proposed rule and draft interim guidance until July 2.
Liam Russell, Adriaan Buijs, Guy Jonkmans
Nuclear Science and Engineering | Volume 176 | Number 3 | March 2014 | Pages 370-375
Computer Code Abstract | doi.org/10.13182/NSE13-8
Articles are hosted by Taylor and Francis Online.
G4-STORK (Geant4 Stochastic Reactor Kinetics) is a time-dependent Monte Carlo particle physics code for reactor physics applications. G4-STORK was built using the Geant4 Monte Carlo toolkit and is designed to model the continuous evolution of a population of neutrons in space and time. From this evolution, various important reactor physics quantities can be calculated, including the reactivity of the system and the entropy of the neutron spatial distribution. System properties, such as the temperature of a material, can be changed incrementally to approximate time dependence. Thus, G4-STORK can be used to model reactor kinetics and was used to simulate a system that underwent an instantaneous increase in temperature.