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
May 2026
Nuclear Technology
February 2026
Fusion Science and Technology
Latest News
Texas opens $350M in nuclear funding
Three years ago, the Texas Public Utility Commission launched the Advanced Nuclear Reactor Working Group at the direction of Gov. Greg Abbott. One year later, that new group issued a report recommending several actions to the Texas legislature that could be taken to attract new nuclear projects to the state.
Included in those recommendations were the foundation of a nonregulatory entity to coordinate Texas’s “strategic nuclear vision” along with an advanced nuclear fund to help “overcome the funding valley project developers face” in the state.
Bradley A. Clark
Nuclear Science and Engineering | Volume 92 | Number 2 | February 1986 | Pages 186-191
Technical Paper | doi.org/10.13182/NSE86-A18164
Articles are hosted by Taylor and Francis Online.
A new three-point nonlinear difference scheme for diffusion synthetic acceleration (DSA) of the radiation transport equation is described. The new scheme is compared with the standard one-point method on two test problems. In addition, the two DSA methods are used to accelerate a variety of discrete ordinates difference schemes. The methods are very effective in accelerating the convergence of the transport iteration. Each of the DSA methods is accelerated by grey, or one-group, diffusion acceleration equation, which is also successful in increasing efficiency. The new method is at least 50% faster than one-point DSA method and this advantage increases with the difficulty of the problem and with tighter convergence criteria. The new acceleration method reduces computer time by at least one order of magnitude compared to unaccelerated calculations.