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
Feb 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
February 2026
Nuclear Technology
January 2026
Fusion Science and Technology
Latest News
Industry Update—February 2026
Here is a recap of recent industry happenings:
Supply chain contract signed for Aurora
Oklo, the California-based developer of the Aurora Powerhouse sodium-cooled fast-neutron reactor, has signed a contract with Siemens Energy that is meant to de-risk supply chain and production timeline challenges for Oklo. Under the terms, Siemens will design and deliver the power conversion system for the Powerhouse, which is to be deployed at Idaho National Laboratory.
Peter Romstedt
Nuclear Science and Engineering | Volume 104 | Number 1 | January 1990 | Pages 1-9
Technical Paper | doi.org/10.13182/NSE90-A23696
Articles are hosted by Taylor and Francis Online.
A solution method for two-phase flow problems is presented that is very well established in numerical aerodynamics. The set of two-phase flow equations is presumed to be hyperbolic. The method solves the flow equation in its characteristic form (compatibility conditions) on a rectangular mesh. It uses the characteristic directions only to determine how the numerical solution depends on the upstream and downstream fluid flow states, in contrast to the method of characteristics. This results in a particular choice of backward and forward differences to approximate the spatial derivatives and yields a stable numerical scheme. The method works on a simple discrete mesh and does not need a staggered mesh for stability, as is widely used for two-phase flow calculations. Thereby, numerical diffusion is reduced and less computer time is needed because the equations of state are only evaluated at half the discrete points. The method is compared to a staggered mesh second-order method by solving different steady-state and transient two-phase flow problems (homogeneous equilibrium model).