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David P. Grote

Researcher at Lawrence Livermore National Laboratory

Publications -  208
Citations -  2635

David P. Grote is an academic researcher from Lawrence Livermore National Laboratory. The author has contributed to research in topics: Beam (structure) & Particle accelerator. The author has an hindex of 24, co-authored 203 publications receiving 2503 citations. Previous affiliations of David P. Grote include Lawrence Berkeley National Laboratory.

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Journal ArticleDOI

Three-dimensional particle simulation of heavy-ion fusion beams

TL;DR: Friedman et al. as discussed by the authors developed warp, a multidimensional particle simulation code, which combines features of an accelerator code and a particle-in-cell plasma simulation.
Journal ArticleDOI

Novel methods in the Particle-In-Cell accelerator Code-Framework Warp

TL;DR: The Particle-In-Cell (PIC) Code-Framework Warp as discussed by the authors was developed by the Heavy Ion Fusion Science Virtual National Laboratory (HIFS-VNL) to guide the development of accelerators that can deliver beams suitable for high energy density experiments and implosion of inertial fusion capsules.
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Numerical methods for instability mitigation in the modeling of laser wakefield accelerators in a Lorentz-boosted frame

TL;DR: A combination of techniques presented prove to be very efficient at controlling the instability, allowing for efficient direct modeling of 10GeV class laser plasma accelerator stages, and may have broader application, to other Lorentz-boosted simulations and Particle-In-Cell simulations in general.
Proceedings ArticleDOI

The WARP Code: Modeling High Intensity Ion Beams

TL;DR: The Warp code, developed for heavy‐ion driven inertial fusion energy studies, is used to model high intensity ion (and electron) beams, and is at the forefront in the use of the computational technique of adaptive mesh refinement.
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WARP-X: a new exascale computing platform for Beam-Plasma Simulations

TL;DR: Vay et al. as discussed by the authors developed WarpX, a new simulation tool for high-performance modeling of plasma accelerators that harnesses the power of future exascale supercomputers.