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
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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
Jan 2025
Jul 2024
Latest Journal Issues
Nuclear Science and Engineering
February 2025
Nuclear Technology
January 2025
Fusion Science and Technology
Latest News
Article considers incorporation of AI into nuclear power plant operations
The potential application of artificial intelligence to the operation of nuclear power plants is explored in an article published in late December in the Washington Examiner. The article, written by energy and environment reporter Callie Patteson, presents the views of a number of experts, including Yavuz Arik, a strategic energy consultant.
Anne C. Harnden-Gillis, Brent J. Lewis, William S. Andrews, Peter L. Purdy, Morris F. Osborne, Richard A. Lorenz
Nuclear Technology | Volume 109 | Number 1 | January 1995 | Pages 39-53
Technical Paper | Nuclear Fuel Cycle | doi.org/10.13182/NT95-A35067
Articles are hosted by Taylor and Francis Online.
Several empirically based models of fission product release, recently developed at various laboratories for severe reactor accident conditions, have been compared with the measured cesium release from light water reactor fuel in the VI series of experiments performed at the Oak Ridge National Laboratory. The models under consideration treat the underlying process of release by first-order kinetics or by classical diffusion theory. In addition, a state-of-the-art approach using an artificial neural network is evaluated.