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
Reactor Physics
The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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
May 2024
Jan 2024
Latest Journal Issues
Nuclear Science and Engineering
June 2024
Nuclear Technology
Fusion Science and Technology
Latest News
NRC Hanson's renomination clears Senate committee
Hanson
The U.S. Senate Environment and Public Works Committee voted 18–1 yesterday to advance the renomination of Christopher T. Hanson as a member of the Nuclear Regulatory Commission. Hanson has been a commissioner since 2020, and was named chair by President Biden in January 2021. The full U.S. Senate will consider Hanson’s nomination later this month.
Voices of support: “Chair Hanson is a dedicated public [servant] who has thoughtfully and . . . skillfully led the [NRC] during his tenure as its chair. Throughout his time on the[NRC], he has demonstrated his commitment to ensuring the safety and the security of our nation’s use of nuclear energy,” said EPW committee chair Tom Carper (D., Del.) before the vote.
Brian S. Triplett, Samim Anghaie, Morgan C. White
Nuclear Technology | Volume 170 | Number 1 | April 2010 | Pages 80-89
Technical Paper | Special Issue on the 2008 International Congress on Advances in Nuclear Power Plants / Radiation Measurements and Instrumentation | doi.org/10.13182/NT10-A9447
Articles are hosted by Taylor and Francis Online.
Verification and validation (V&V) of nuclear data are critical to the accuracy of both stochastic and deterministic particle transport codes. To effectively test a set of nuclear data, the data must be applied to a wide variety of transport problems. Performing this task in a timely, efficient manner is tedious. The nuclear data team at Los Alamos National Laboratory in collaboration with the University of Florida has developed a methodology to automate the process of nuclear data V&V. This automated V&V process can efficiently test a number of data libraries using well-defined benchmark experiments, such as those in the International Criticality Safety Benchmark Experiment Project. The process is implemented through an integrated set of Python scripts. Material and geometry data are read from an existing medium or given directly by the user to generate a benchmark experiment template file. The user specifies the choice of benchmark templates, codes, and libraries to form a V&V project. The Python scripts automatically generate input decks for multiple transport codes, run and monitor individual jobs, and parse the relevant output. The output can then be used to generate reports directly or can be stored in a database for later analysis. This methodology eases the burden on the user by reducing the amount of time and effort required for obtaining and compiling calculation results. The resource savings by using this automated methodology could potentially be an enabling technology for more sophisticated data studies, such as nuclear data uncertainty quantification. Once deployed, this tool will allow the nuclear data community to more thoroughly test data libraries leading to higher-fidelity data in the future.