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.”
Zongwei Wang, Dangzhong Gao, Xiaojun Ma, Jie Meng
Fusion Science and Technology | Volume 66 | Number 3 | November 2014 | Pages 432-437
Technical Paper | doi.org/10.13182/FST14-808
Articles are hosted by Taylor and Francis Online.
A new technique based on a vertical scanning white-light interferometry is developed for measuring fuel pressure in inertial confinement fusion (ICF) multiple-shell polymer-microsphere targets. Nuclear fuel pressure is an essential parameter for estimating fusion efficiency in ICF experiments. This parameter is difficult to determine because of complicated target structures, short measurement time, relatively short optical path length changes, and expansion of the target after pressurization. To reduce the effects due to changes in diameter, a model is proposed to correct for the expansion at the radial orientation for multiple-shell polymer microspheres. The model is compared to a destructive method, and D2 fill pressure accuracy is confirmed within a 10% error of uncertainty.