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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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A year in orbit: ISS deployment tests radiation detectors for future space missions
The predawn darkness on a cool Florida night was shattered by the ignition of nine Merlin engines on a SpaceX Falcon 9 rocket. The thrust of the engines shook the ground miles away. From a distance, the rocket appeared to slowly rise above the horizon. For the cargo onboard, the launch was anything but gentle, as the ignition of liquid oxygen generated more than 1.5 million pounds of force. After the rocket had been out of sight for several minutes, the booster dramatically returned to Earth with several sonic booms in a captivating show of engineering designed to make space travel less expensive and more sustainable.
Sunday, May 31, 2026|1:00–5:00PM MDT
Governor's Square 10
Price: Free
Capacity: maximum of 40 persons
Host: Argonne National Laboratory / Idaho National Laboratory
Griffin is a deterministic MOOSE-based reactor physics code developed jointly by Argonne and Idaho National Laboratories for multiphysics analysis of various advanced nuclear reactors, including high-temperature reactors (HTRs), molten-salt reactors (MSRs), fast reactors (FRs), and microreactors.
This workshop provides an overview of Griffin’s capabilities for advanced reactor modeling of pebble-bed-type or prismatic-type HTR, MSR, FR, and microreactor applications. It will highlight recent developments for HTR, FR, and microreactor applications, including updated workflows and solver capabilities. The workshop will also cover geometry for complex geometry problems and mesh generation, as well as online cross section generation modeling for both fast and thermal-spectrum systems. A series of application examples across HTR, MSR, FR, and microreactors will be presented to showcase typical analysis tasks and modeling best practices across these reactor types. In addition, the workshop will demonstrate coupled multiphysics simulations with other MOOSE physics tools under steady-state and transient conditions, emphasizing integrated workflows within the MOOSE framework.