The Fusion Energy Sciences Program (FESP) conducts research funded by the DOE SC Office of Fusion Energy Sciences (FES). The primary research areas include: (1) MFE experimental research conducted through collaborations on the General Atomics DIII-D tokamak experiment and on PPPL's NSTX-U spherical tokamak experiment; (2) Fusion & Plasma Theory and Modeling in support of the DIII-D and NSTX-U collaborations, as well as international MFE facilities primarily found in Asia and Europe; (3) Fusion Materials and Technology research in support of fusion nuclear science; and (4) High-Energy-Density Laboratory Plasma (HEDLP) research that explores fundament plasma science questions in densities and temperatures relevant to HED Science. In addition to the research funded by SC FES, FESP is the PLS Physics division discipline home for Applied Plasma and EM Simulation group.
FESP Leader: Harry McLean
Associate Program Leader: Andrea Schmidt
Associate Program Leader (Acting): John Barnard
Associate Program Leaders: Steve Allen and Vlad Soukhanovskii
The MFE Experimental Research Group develops novel diagnostic measurements and executes state-of-the-art MFE experiments focused on both the core and boundary of high performance MFE plasmas through LLNL collaborations with the DIII-D National Fusion Facility at General Atomics (LLNL contact Steve Allen) and NSTX-U at PPPL (LLNL contact Vlad Soukhanovskii). Research activities include the comparison of experiment results with analytical theory and computational models of plasma behavior. The group also supports development of advanced diagnostics that are relevant to ITER.
Associate Program Leader (Acting): Alex Friedman
The Theory and Modeling Group undertakes plasma theory and computations in support of current and future fusion experiments (both magnetic and inertial fusion), and basic and applied plasma science contributing to other programs for various sponsors. The calculations undertaken by the Theory and Modeling Group include analytical theory and various kinds of simulations (kinetic and fluid plasma models), and the simulation tools are supported by advanced algorithm development and the application of high performance computing.