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Copy file name to clipboardExpand all lines: Docs/source/acknowledge_us.rst
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**Plain text:**
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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 TAE Technologies. We acknowledge all WarpX contributors.
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This research used the open-source particle-in-cell code WarpX https://github.com/ECP-WarpX/WarpX. Primary WarpX contributors are with LBNL, LLNL, CEA-LIDYL, SLAC, DESY, CERN, and TAE Technologies. We acknowledge all WarpX contributors.
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**LaTeX:**
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.. code-block:: latex
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\usepackage{hyperref}
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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.
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This research used the open-source particle-in-cell code WarpX \url{https://github.com/ECP-WarpX/WarpX}.
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Primary WarpX contributors are with LBNL, LLNL, CEA-LIDYL, SLAC, DESY, CERN, and TAE Technologies.
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We acknowledge all WarpX contributors.
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- Sandberg R T, Lehe R, Mitchell C E, Garten M, Myers A, Qiang J, Vay J-L and Huebl A.
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**Synthesizing Particle-in-Cell Simulations Through Learning and GPU Computing for Hybrid Particle Accelerator Beamlines**.
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Proc. of Platform for Advanced Scientific Computing (PASC'24), *submitted*, 2024.
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`preprint <http://arxiv.org/abs/2402.17248>__`
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Proc. of Platform for Advanced Scientific Computing (PASC'24), *PASC24 Best Paper Award*, 2024.
Copy file name to clipboardExpand all lines: Docs/source/acknowledgements.rst
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Funding and Acknowledgements
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============================
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WarpX is supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration) responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering, and early testbed platforms, in support of the nation's exascale computing imperative.
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WarpX is hosted by the High Performance Computing Foundation (HPSF).
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If your organization wants to help steer the evolution of the HPC software ecosystem, visit `hpsf.io <https://hpsf.io>`__ and consider joining!
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WarpX is supported by the CAMPA collaboration, a project of the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research and Office of High Energy Physics, Scientific Discovery through Advanced Computing (SciDAC) program.
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ABLASTR seed development is supported by the Laboratory Directed Research and Development Program of Lawrence Berkeley National Laboratory under U.S. Department of Energy Contract No. DE-AC02-05CH11231.
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WarpX is supported by the KISMET project, a project of the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research and Office of Fusion Energy Science, Scientific Discovery through Advanced Computing (SciDAC) program.
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CEA-LIDYL actively contributes to the co-development of WarpX.
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As part of this initiative, WarpX also receives funding from the French National Research Agency (ANR - Plasm-On-Chip), the Horizon H2020 program and CEA.
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WarpX was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration) responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering, and early testbed platforms, in support of the nation's exascale computing imperative.
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ABLASTR seed development was supported by the Laboratory Directed Research and Development Program of Lawrence Berkeley National Laboratory under U.S. Department of Energy Contract No. DE-AC02-05CH11231.
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We acknowledge all the contributors and users of the WarpX community who participate to the code quality with valuable code improvement and important feedback.
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