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
Mar 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
April 2026
Nuclear Technology
February 2026
Fusion Science and Technology
Latest News
MURR becomes only gadolinium-153 producer in the U.S.
The University of Missouri Research Reactor (MURR) has commenced production of gadolinium-153, a radioisotope used in medical imaging applications, as announced by the Department of Energy’s Office of Isotope R&D Production (IRP) and the university earlier this week. That makes MURR the only domestic supplier of Gd-153 and one of two suppliers in the world.
F. J. Homan, T. N. Washburn
Nuclear Technology | Volume 8 | Number 4 | April 1970 | Pages 384-394
Economic | doi.org/10.13182/NT70-A28665
Articles are hosted by Taylor and Francis Online.
Optimized schedules for the expansion of fabrication capacity for nuclear fuels can result in substantial savings to the electrical economy. This is evident when the fabrication costs for optimized schedules are compared with conservative schedules based only on near-term demand. A method is presented by which such optimization is achieved through mathematical simulation of numerous logically selected expansion schedules which are all based on the same time-dependent demand data. The schedules are generated by assuming different plant utilization policies and planning horizons, and are compared on a levelized unit cost basis. The schedule yielding the lowest cost over the time period studied is defined as optimum. A parametric analysis is included to show the variation of optimum expansion schedules and unit costs with changes in the various economic parameters.