Current projections estimate that the energy needs of the world will more than double by the year 2050 fueled by a growing and developing world population. This is coupled with increasing demands for sources of energy that do not add to the already high levels of carbon dioxide and other pollutants in the environment. These coupled challenges cannot be met with existing technologies; major scientific breakthroughs will be required to provide reliable, economic solutions.

Nuclear energy has proven to be safe, reliable, and affordable. Nuclear energy is undergoing a renaissance and is poised to play an ever-increasing role in meeting future energy demand and in managing carbon dioxide and other pollutant emissions.

The required capabilities to meet nuclear energy goals in the 2010 to 2050 time frame are mostly unique to the nuclear industry. This workshop will provide discussions of the strategies and R&D actions required to provide the required suite of science based simulation and modeling capabilities based on near term, 2020, high performance computing at the Petaops and Exaops levels.

Key areas that will be addressed include:

  • Role of HPC enabled “science based” R&D for nuclear energy
  • Future platform architectures and expected programming models
  • Challenges of modeling chemistry and materials in a radiation environment
  • Challenges of detailed systems level models for reactor operations and business modeling
  • Challenges of modeling 15 orders-of-magnitude, multi-scale, and coupled physics/engineering needed by nuclear reactor systems