WarpX
20.10
Building/installing WarpX
Running WarpX as an executable
Running WarpX from Python
Visualizing the simulation results
Theoretical background
Introduction
The electromagnetic Particle-In-Cell method
Filtering
Mesh refinement
Boundary conditions
Moving window and optimal Lorentz boosted frame
Inputs and outputs
Developers documentation
Doxygen
Run LibEnsemble on WarpX
Contact us
Acknowledge WarpX
Funding and Acknowledgements
WarpX
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Theoretical background
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Theoretical background
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This page contains information on the algorithms that are used in WarpX.
Topics:
Introduction
The electromagnetic Particle-In-Cell method
Filtering
Mesh refinement
Boundary conditions
Moving window and optimal Lorentz boosted frame
Inputs and outputs
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