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
ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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!
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Latest News
Norway’s Halden reactor takes first step toward decommissioning
The government of Norway has granted the transfer of the Halden research reactor from the Institute for Energy Technology (IFE) to the state agency Norwegian Nuclear Decommissioning (NND). The 25-MWt Halden boiling water reactor operated from 1958 to 2018 and was used in the research of nuclear fuel, reactor internals, plant procedures and monitoring, and human factors.
Sunday, April 27, 2025|8:00AM–5:00PM MDT
Cost: $99
Limited Space
Organizer: Paul Romano (Argonne National Laboratory), Micah Gale (Idaho National Laboratory) and Travis Labossiere-Hickman (Idaho National Laboratory)
This workshop will introduce attendees to two powerful Python-based tools for performing Monte Carlo simulations. The first tool that will be covered is MontePy, a Python library for reading, editing, and writing MCNP input files. Through hands-on demonstrations, we will show methods to automate common tasks for updating large MCNP models as well as ways to create an MCNP problem from scratch in MontePy. After covering MontePy, we will then proceed with an interactive demonstration of the OpenMC Monte Carlo code, showing how its Python API can be used to define a model, run a simulation, and analyze the results. Together, attendees will have a strong starting point for performing their own explorations using MontePy and OpenMC.
Participants should bring their laptop to follow along with the live demonstrations. There are no requirements to install software ahead of time. A link will be provided to access the software on a cloud computing platform accessible through any web browser.
