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.
Division Spotlight
Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
Meeting Spotlight
2021 ANS Virtual Annual Meeting
June 14–16, 2021
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
Apr 2021
Jan 2021
Latest Journal Issues
Nuclear Science and Engineering
May 2021
Nuclear Technology
April 2021
Fusion Science and Technology
February 2021
Latest News
Brookhaven lab names new nuclear and particle physics directorate lead
Gao
Haiyan Gao, currently the Henry W. Newson Distinguished Professor of Physics at Duke University, will join the Department of Energy’s Brookhaven National Laboratory as associate laboratory director for Nuclear & Particle Physics starting on or about June 1, 2021.
Details: Gao, who has a long history in nuclear physics, will help develop BNL’s collective long-term vision for the next 10 years. She’ll also work across the laboratory and beyond to craft its emerging expertise at the future Electron-Ion Collider, a one-of-kind nuclear physics research facility that will be built at the lab over the next decade.
E. Fridman, E. Shwageraus, A. Galperin
Nuclear Science and Engineering | Volume 159 | Number 1 | May 2008 | Pages 37-47
Technical Paper | dx.doi.org/10.13182/NSE07-34
Articles are hosted by Taylor and Francis Online.
Coupled Monte Carlo depletion systems provide a versatile and an accurate tool for analyzing advanced thermal and fast reactor designs for a variety of fuel compositions and geometries. The main drawback of Monte Carlo-based systems is a long calculation time imposing significant restrictions on the complexity and amount of design-oriented calculations. This paper presents an alternative approach to interfacing the Monte Carlo and depletion modules aimed at addressing this problem. The main idea is to calculate the one-group cross sections for all relevant isotopes required by the depletion module in a separate module external to Monte Carlo calculations. Thus, the Monte Carlo module will produce the criticality and neutron spectrum only, without tallying of the individual isotope reaction rates. The one-group cross section for all isotopes will be generated in a separate module by collapsing a universal multigroup (MG) cross-section library using the Monte Carlo calculated flux. Here, the term "universal" means that a single MG cross-section set will be applicable for all reactor systems and is independent of reactor characteristics such as a neutron spectrum; fuel composition; and fuel cell, assembly, and core geometries. This approach was originally proposed by Haeck et al. and implemented in the ALEPH code.Implementation of the proposed approach to Monte Carlo burnup interfacing was carried out through the BGCORE system. One-group cross sections generated by the BGCORE system were compared with those tallied directly by the MCNP code. Analysis of this comparison was carried out and led to the conclusion that in order to achieve the accuracy required for a reliable core and fuel cycle analysis, accounting for the background cross section (0) in the unresolved resonance energy region is essential.An extension of the one-group cross-section generation model was implemented and tested by tabulating and interpolating by a simplified 0 model. A significant improvement of the one-group cross-section accuracy was demonstrated.
