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001048672 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-04795
001048672 037__ $$aFZJ-2025-04795
001048672 1001_ $$0P:(DE-Juel1)132115$$aGibbon, Paul$$b0$$eCorresponding author$$ufzj
001048672 1112_ $$aSIAM Conference on Computational Science and Engineering$$cFort Worth, TX$$d2025-03-03 - 2025-03-07$$gSIAM CSE25$$wUSA
001048672 245__ $$aPEPC: An Open-Source Multi-Physics Framework for Mesh-free Simulation of N-Body Systems
001048672 260__ $$c2025
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001048672 500__ $$aMinisymposium on Advances in Particle MethodsOrganizers: Andrew J. Christlieb, Jingwei Hu, Lee RicketsonDescription:Particle methods have been an essential tool in the simulation of problems that are dominated by kinetic effects. Typically these methods are at best second order and have dominated engineering and physics due to their ease of implementation and direct interpretability. Over the past 10 years, advances in particle methods have created a renaissance and how we approach solving these problems, offering more flexibility, greater accuracy and rigorous structure preservation. This minisymposium is designed to highlight advances in particle methods. Topics include fully implicit methods, mesh free representations, structure preserving algorithms, asymptotic preserving methods, adjoint methods for particle representations. This survey of recent advances is meant to engage the mathematical community in a discussion about value of these methods and the importance of this renaissance in method development.
001048672 520__ $$aPEPC is a multi-physics community tree-code developedand hosted by JSC over the last two decades [P. Gibbonet al. (2024), DOI: 10.5281/zenodo.11035167.]. At itscore the code utilises a hierarchical tree structure originallybased on the Salmon-Warren Hashed Oct Tree scheme toperform rapid force summation of a dynamical N-body sys-tem interacting via long-range potentials on heterogeneoussuperomputer architectures. Depending on the physicalchoice of potential, the algorithm can be applied to di-verse fields such as plasma, gravitational systems and vor-tex fluids [Durante et al., Math. Comp. in Simulation225, 528 (2024)]. In this talk we highlight some of the re-cent key developments in the PEPC framework, coveringalgorithmic and physical aspects and such as GPU port-ing, time-integration schemes, management of dynamicalparticle populations [Chew et al., Plasma Phys. Contr.Fusion 63, 045012 (2024)] and inclusion of self-generatedmagnetic fields [Siddi et al., Phys. Plasmas 24, 082103(2017)] in charged-particle systems.
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001048672 536__ $$0G:(DE-Juel-1)SDLPP$$aSimulation and Data Lab Plasma Physics$$cSDLPP$$x1
001048672 8564_ $$uhttps://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=80993
001048672 8564_ $$uhttps://juser.fz-juelich.de/record/1048672/files/PEPC%20SIAM%202025.pdf$$yOpenAccess
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