Plasma simulations are often rendered challenging by the disparity of scales in time and in space which must be resolved. When these disparities are in distinctive zones of the simulation domain, a method which has proven to be effective in other areas (e.g. fluid dynamics simulations) is the mesh refinement technique. We briefly discuss the challenges posed by coupling this technique with plasma Particle-In-Cell simulations, and present examples of application in Heavy Ion Fusion and related fields which illustrate the effectiveness of the approach. We also report on the status of a collaboration under way at Lawrence Berkeley National Laboratory between the Applied Numerical Algorithms Group (ANAG) and the Heavy Ion Fusion group to upgrad...
To maintain load balance among processes in parallel calculation, we introduced a dynamic load balan...
The high spatial resolution needed in self-consistent particle simulations can be achieved using ada...
In this paper, we present an approach for a patch-based adaptive mesh refinement (AMR) for multi-phy...
The numerical simulation of the driving beams in a heavy ion fusion power plant is a challenging tas...
The numerical simulation of the driving beams in a heavy ion fusion power plant is a challenging tas...
The numerical simulation of the driving beams in a heavy ion fusion power plant is a challenging tas...
The development of advanced accelerators often involves the modeling of systems that involve a wide ...
A novel adaptive technique for electromagnetic Particle In Cell (PIC) plasma simulations is presente...
Several techniques are known for the coupled simulation of charged particles and electromagnetic fie...
AbstractSpace plasma phenomena occur in multi-scale processes from the electron scale to the magneto...
XGC1 and M3D-C (1) are two fusion plasma simulation codes being developed at Princeton Plasma Physic...
Techniques that have become common in aerodynamics codes have recently begun to be implemented in sp...
This thesis investigates the issues introduced by the advanced computing technologies applications t...
Particle-in-cell (PIC) methods are an effective tool for fusion plasma simulations. In PIC the parti...
The XGC1 plasma microturbulence particle-in-cell simulation code has both particle-based and mesh-ba...
To maintain load balance among processes in parallel calculation, we introduced a dynamic load balan...
The high spatial resolution needed in self-consistent particle simulations can be achieved using ada...
In this paper, we present an approach for a patch-based adaptive mesh refinement (AMR) for multi-phy...
The numerical simulation of the driving beams in a heavy ion fusion power plant is a challenging tas...
The numerical simulation of the driving beams in a heavy ion fusion power plant is a challenging tas...
The numerical simulation of the driving beams in a heavy ion fusion power plant is a challenging tas...
The development of advanced accelerators often involves the modeling of systems that involve a wide ...
A novel adaptive technique for electromagnetic Particle In Cell (PIC) plasma simulations is presente...
Several techniques are known for the coupled simulation of charged particles and electromagnetic fie...
AbstractSpace plasma phenomena occur in multi-scale processes from the electron scale to the magneto...
XGC1 and M3D-C (1) are two fusion plasma simulation codes being developed at Princeton Plasma Physic...
Techniques that have become common in aerodynamics codes have recently begun to be implemented in sp...
This thesis investigates the issues introduced by the advanced computing technologies applications t...
Particle-in-cell (PIC) methods are an effective tool for fusion plasma simulations. In PIC the parti...
The XGC1 plasma microturbulence particle-in-cell simulation code has both particle-based and mesh-ba...
To maintain load balance among processes in parallel calculation, we introduced a dynamic load balan...
The high spatial resolution needed in self-consistent particle simulations can be achieved using ada...
In this paper, we present an approach for a patch-based adaptive mesh refinement (AMR) for multi-phy...