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 Winter Conference & Expo
November 15–18, 2026
Phoenix, AZ|Arizona Grand Resort & Spa
Latest Magazine Issues
Sep 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
October 2026
Nuclear Technology
Fusion Science and Technology
Latest News
Westinghouse, Nordion, and PSEG team up to produce Co‑60 in the United States
This past January, Westinghouse Electric Company, Nordion, and PSEG Nuclear formalized agreements to implement newly developed cobalt-60 production technology at Units 1 and 2 of PSEG’s Salem nuclear power plant in New Jersey, with the Co-60 to be supplied to Nordion. Through an ongoing joint initiative, the companies aim to harness U.S. pressurized water reactors to produce a key medical isotope and build the first commercial-scale Co-60 production platform in the United States.
R. T. Evans, D. G. Cacuci
Nuclear Science and Engineering | Volume 172 | Number 2 | October 2012 | Pages 216-222
Technical Note | doi.org/10.13182/NSE11-110
Articles are hosted by Taylor and Francis Online.
We have implemented the first-order adjoint sensitivity analysis procedure (ASAP) into the three-dimensional parallel radiation transport code system Denovo, a module of the SCALE software suite. In particular, we used a Krylov-based approach to compute the solution to the inhomogeneous adjoint systems occurring in the ASAP. Our implementation, as a component of Denovo's scalable framework, should allow the efficient computation of cross section and atomic number density sensitivity coefficients for critical systems in a massively parallel fashion. We have constructed a proof that the Krylov-based approach converges to a unique solution and compared its computational requirements with the standard algorithm used in the neutron transport community. In addition, we performed a verification of our ASAP implementation on the Godiva experimental benchmark. We found the new approach to be an order of magnitude faster than the standard algorithm in this benchmark.