Charles Eugene Seyler, Cornell University

Profile photo of Charles Eugene Seyler, expert at Cornell University

Professor Ithaca, New York CES7@cornell.edu Office: (607) 255-4967

Bio/Research

The state of matter called high energy density (HED) plasma occurs when the energy density is of the order of 10^11 joules m^-1. Attainment of this state is required to achieve nuclear fusion in a number of schemes based on inertial confinement. Our very limited current understanding of the dynam...

Click to Expand >>

Bio/Research

The state of matter called high energy density (HED) plasma occurs when the energy density is of the order of 10^11 joules m^-1. Attainment of this state is required to achieve nuclear fusion in a number of schemes based on inertial confinement. Our very limited current understanding of the dynamics of HED plasmas is mostly derived from numerical simulations. However, the vast amount of physics, large dynamical range of density and pressures, and the widely separated spatial and temporal scales creates a very challenging computational problem. Further progress is dependent on advancement of numerical methods capable of meeting these challenges. While there has been a great deal of success in addressing the modeling and computation of many of the physical process underlying HED plasmas, the simulation of phenomena that are dependent on short space and time scales remain largely unexplored. My current research is simulating HED plasmas with applications to fusion and designing computational algorithmic solutions to address some computational challenges concerning issues associated with short space-time scales. The code PERSEUS developed by my group is an extended-magnetohydrodynamic code that is capable of resolving physical processes dependent on short space and time scales without the great computational expense incurred by other methods. The simulation effort in my group is closely associated with HED Plasma experiments performed on the COBRA accelerator. The experiments have provided strong support for the validity of our computational approach.

Click to Shrink <<