Acknowledge WarpX

Please acknowledge the role that WarpX played in your research.

In presentations

For your presentations, you can find WarpX slides here. Several flavors are available:

  • full slide

  • half-slide (portrait or landscape format)

  • small inset.

Feel free to use the one that fits into your presentation and adequately acknowledges the part that WarpX played in your research.

In publications

Please add the following sentence to your publications, it helps contributors keep in touch with the community and promote the project.

Plain text:

This research used the open-source particle-in-cell code WarpX https://github.com/ECP-WarpX/WarpX, primarily funded by the US DOE Exascale Computing Project. Primary WarpX contributors are with LBNL, LLNL, CEA-LIDYL, SLAC, DESY, CERN, and Modern Electron. We acknowledge all WarpX contributors.

Latex:

\usepackage{hyperref}
This research used the open-source particle-in-cell code WarpX \url{https://github.com/ECP-WarpX/WarpX}, primarily funded by the US DOE Exascale Computing Project.
Primary WarpX contributors are with LBNL, LLNL, CEA-LIDYL, SLAC, DESY, CERN, and Modern Electron.
We acknowledge all WarpX contributors.

Latest WarpX reference

If your project leads to a scientific publication, please consider citing the paper below.

  • Myers A, Almgren A, Amorim LD, Bell J, Fedeli L, Ge L, Gott K, Grote DP, Hogan M, Huebl A, Jambunathan R, Lehe R, Ng C, Rowan M, Shapoval O, Thevenet M, Vay JL, Vincenti H, Yang E, Zaim N, Zhang W, Zhao Y, Zoni E. Porting WarpX to GPU-accelerated platforms. Parallel Computing. 2021 Sep, 108:102833. https://doi.org/10.1016/j.parco.2021.102833

Prior WarpX references

If your project uses the specific algorithms, please consider citing the respective publications in addition.

  • Fedeli L, Zaim N, Sainte-Marie A, Thevenet M, Huebl A, Myers A, Vay J-L, Vincenti H. PICSAR-QED: a Monte Carlo module to simulate Strong-Field Quantum Electrodynamics in Particle-In-Cell codes for exascale architectures. New Journal of Physics. in-press, 2022. https://arxiv.org/abs/2110.00256

  • Zoni E, Lehe R, Shapoval O, Belkin D, Zaim N, Fedeli L, Vincenti H, Vay J-L. A Hybrid Nodal-Staggered Pseudo-Spectral Electromagnetic Particle-In-Cell Method with Finite-Order Centering. under review, 2022. https://arxiv.org/abs/2106.12919

  • Shapoval O, Lehe R, Thevenet M, Zoni E, Zhao Y, Vay J-L. Overcoming timestep limitations in boosted-frame Particle-In-Cell simulations of plasma-based acceleration. Phys. Rev. E Nov 2021, 104:055311. https://doi.org/10.1103/PhysRevE.104.055311

  • Vay JL, Huebl A, Almgren A, Amorim LD, Bell J, Fedeli L, Ge L, Gott K, Grote DP, Hogan M, Jambunathan R, Lehe R, Myers A, Ng C, Rowan M, Shapoval O, Thevenet M, Vincenti H, Yang E, Zaim N, Zhang W, Zhao Y, Zoni E. Modeling of a chain of three plasma accelerator stages with the WarpX electromagnetic PIC code on GPUs. Physics of Plasmas. 2021 Feb 9, 28(2):023105. https://doi.org/10.1063/5.0028512

  • Rowan ME, Gott KN, Deslippe J, Huebl A, Thevenet M, Lehe R, Vay JL. In-situ assessment of device-side compute work for dynamic load balancing in a GPU-accelerated PIC code. PASC ‘21: Proceedings of the Platform for Advanced Scientific Computing Conference. 2021 July, 10, pages 1-11. https://doi.org/10.1145/3468267.3470614

  • Vay JL, Almgren A, Bell J, Ge L, Grote DPHogan M, Kononenko O, Lehe R, Myers A, Ng C, Park J, Ryne R, Shapovala O, Thevene M, Zhang W. Warp-X: A new exascale computing platform for beam–plasma simulations. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2018 Nov, 909(12) Pages 476-479. https://doi.org/10.1016/j.nima.2018.01.035