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
Apr 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
June 2026
Nuclear Technology
March 2026
Fusion Science and Technology
May 2026
Latest News
DOE selects first companies for nuclear launch pad
The Department of Energy’s Office of Nuclear Energy and the National Reactor Innovation Center have announced their first selections for the Nuclear Energy Launch Pad: three companies developing microreactors and one developing fuel supply.
The four companies—Deployable Energy, General Matter, NuCube Energy, and Radiant Industries—were selected from the initial pool of Reactor Pilot Program and Fuel Line Pilot Program applicants, the two precursor programs to the launch pad.
S. M. Ghiaasiaan, B. K. Kamboj, S. I. Abdel-Khalik
Nuclear Science and Engineering | Volume 119 | Number 1 | January 1995 | Pages 1-17
Technical Paper | doi.org/10.13182/NSE95-A24067
Articles are hosted by Taylor and Francis Online.
Steady-state condensation in the presence of a noncondensable in a cocurrent two-phase channel flow is analyzed using a two-fluid model. The effect of noncondensables on the combined heat and mass transfer at the liquid-gas mixture interphase is accounted for by using the stagnant film model, and closure relations relevant to the annular-dispersed two-phase flow regime are applied. The conservation equations are cast into a system of coupled ordinary differential equations, which are numerically integrated. Model predictions are compared with published experimental data, with satisfactory results. It is shown that the two-fluid model can correctly predict all major data trends and is preferable to empirical methods.