ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
Meeting Spotlight
2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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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November 2024
Latest News
Framatome to produce Lu-177 at Romania’s Cernavoda
Framatome and SN Nuclearelectrica, a partially state-owned Romanian nuclear energy company, have entered into a long-term cooperation agreement to produce the medical isotope lutetium-177 at Cernavoda nuclear power plant in Romania. Lu-177 is a beta-emitting radioisotope used in targeted radionuclide therapy for the treatment of neuroendocrine tumors and prostate cancer.
Sunday, April 27, 2025|8:00AM–5:00PM MDT
Cost:$99
Limited Space
Organizer: Paul Romano (Argonne National Laboratory), Micah Gale (University of Wisconsin-Madison) 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.
