HAD
Distributed AMR infrastructure for PDEs

 Home   About   Research   Documentation   Publications   Presentations   Download 

HAD is a computational toolkit providing distributed adaptive mesh refinement for partial differential equations. It provides a flexible environment for diverse applications which can be combined or employed individually. To date we have implemented applications for the Einstein equations; General Relativistic Magneto Hydrodynamics and (complex) Klein-Gordon fields. These have been employed in full 3D simulations of: In these pages you will find links to presentations, publications and research specific pages with further information about our research activities. Also you can download HAD here.
Sample images of our activities (much more on the research and presentations links):

Magnetized binary stars dynamics
Binary stars with magnetic fields   after merger behavior
Magnetized single star dynamics. Differential rotation and magnetic fields
mMlate

Adaptive gridding through a shadow hierarchy
AMRAMR gridding

Last updated Nov 1, 2007.
(home)
Copyright© 2002 -- 2007
Research Supported by NSF