The Computational Nuclear Engineering Research Group is a community of nuclear engineers, scientists, programmers and students who focus on the development of reliable software tools for the analysis of complex nuclear systems.
Two primary areas of activity are:
- radiation transport and effects in complex CAD-based geometries, and
- agent-based modeling of advanced nuclear fuel cycles.
The acronym CNERG is intended to be pronounced like the English word synergy (‘si-n&r-jE). According to Merriam-Webster OnLine, the noun synergy means “a mutually advantageous conjunction or compatibility of distinct business participants or elements”. This name is suggestive of many synergies that we take advantage of both inside our CNERG community and with our connections to others.
- August, 2016 Robert Carlsen is the lead author on a new paper Challenging Fuel Cycle Modeling Assumptions: Facility and Time-Step Discretization Effects in Nuclear Technology
- July 21, 2016 Elliott Biondo defended his PhD dissertation, describing a complete approach to variance reduction for shutdown dose rate problems and demonstrating substantial speedup in such problems.
- March 29, 2016 Robert Carlsen defended his PhD dissertation, highlighting contributions in nuclear fuel cycle optimization and the concept of hedging strategies for nuclear technology deployment.
- March, 2016 Elliott Biondo is the lead author on a new paper “Shutdown dose rate analysis with CAD geometry, Cartesian/tetrahedral mesh, and advanced variance reduction” published in Fusion Engineering and Design.
- February 18, 2016 Dr. Meghan McGarry authors a blog post for The Union of Concerned Scientists titled Integrating Nuclear Science and Policy for a New Generation. The post describes her experience at the Pugwash Conference and general takeaways on the communication between nuclear scientists and policy makers.
Research and employment opportunities in this research group continuously become available. If you are interested please see what current opportunities are available.