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 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Aug 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
September 2026
Nuclear Technology
Fusion Science and Technology
August 2026
Latest News
NRC issues draft EA/FONSI for Duane Arnold restart
Efforts by NextEra Energy to restart the Duane Arnold nuclear power plant as early as 2029 continue to move forward with the Nuclear Regulatory Commission's preliminary environmental assessment and determination that the restart would have no significant environmental impacts.
On Thursday, the NRC posted a draft environmental assessment and a finding of no significant impact for the Palo, Iowa, facility; the Federal Register notice was published on Monday. The Department of Energy’s Office of Energy Dominance Financing is a cooperating agency on the draft EA, as the DOE is considering providing financial assistance to the restart project.
Sunday, April 27, 2025|8:00AM–5:00PM MDT
Horace Tabor
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.