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 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Jun 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
July 2026
Nuclear Technology
June 2026
Fusion Science and Technology
May 2026
Latest News
North American construction is back—smaller and faster—at OPG’s Darlington
“The nuclear renaissance is real here,” said Ontario Power Generation’s Subo Sinnathamby on May 8, one year to the day after OPG secured a final investment decision to build the first of four planned BWRX-300 reactors at its Darlington nuclear power plant, and shortly after the new reactor’s foundation was lifted into place. “We got our license to construct in April and our [final investment decision] in May, and we’ve been off to the races since.”
John-Patrick Floyd, W. M. Stacey
Fusion Science and Technology | Volume 61 | Number 3 | April 2012 | Pages 227-235
Technical Paper | doi.org/10.13182/FST12-A13535
Articles are hosted by Taylor and Francis Online.
The presence of a large pinch velocity in the edge pedestal of high-confinement (H-mode) tokamak plasmas implies that particle transport in the plasma edge must be treated by a generalized pinch-diffusion theory, rather than a pure diffusion theory. An investigation of extending the numerical solution methodology of the standard diffusion theory to the solution of the generalized pinch-diffusion theory has been carried out. It is found that in the edge pedestal, where the inward pinch velocity is large in H-mode plasmas, a finer mesh spacing will be required than is necessary for similar accuracy farther inward, where the pinch velocity diminishes. An expression for the numerical error in various finite-differencing algorithms is presented.