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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Software modeling to validate the safety of nuclear disposal sites
A new study, “Building Confidence in Models for Complex Barrier Systems for Radionuclides,” highlights a breakthrough in the modeling and simulation of underground nuclear waste interactions. Led by Massachusetts Institute of Technology Ph.D. student Dauren Sarsenbayev, assistant professor and ANS member Haruko Wainwright, and scientists Christophe Tournassat and Carl Steefel, the research shows how cutting-edge, high-performance computing simulations closely align with real-world experimental data from the Mont Terri underground laboratory in Switzerland. The alignment enhances confidence in the long-term safety of geological nuclear waste repositories.
Rashmi C. Desai, Mark Nelkin
Nuclear Science and Engineering | Volume 24 | Number 2 | February 1966 | Pages 142-152
Technical Paper | doi.org/10.13182/NSE66-A18299
Articles are hosted by Taylor and Francis Online.
The time-dependent moments equations derived from the linearized Boltzmann equation are solved for the case of an infinite nonabsorbing medium of hard spheres. The distribution function at zero time is chosen to be Maxwellian at origin and zero elsewhere. The solutions can be applied to neutron diffusion in monatomic hydrogen and to the motion of atoms in a dilute monatomic gas. In the latter case, the solutions give the spatial moments of Van Hove's self-correlation function Gs(,t). Non-Gaussian corrections to Gs(, t) are studied. It is found that these corrections are very sensitive to the type of anisotropy of the scattering kernel. Various approximations (including synthetic kernel) of the exact kernel for a hard sphere gas are considered. The non-Gaussian corrections obtained from approximate kernels are compared with those obtained from the exact kernel. In particular, a recently published kinetic model calculation, using a separable isotropic kernel with l/v scattering cross section, overestimates the non-Gaussian corrections by a factor of almost 4.