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@INPROCEEDINGS{Gibbon:1028555,
      author       = {Gibbon, Paul},
      title        = {{O}ptimisation of {I}gnitor {B}eam {P}roperties in {P}roton
                      {F}ast {I}gnition},
      reportid     = {FZJ-2024-04682},
      year         = {2024},
      abstract     = {The recent ignition success at the National Ignition
                      Facility (NIF) [1] has boosted the exploitation of Inertial
                      Fusion Energy (IFE) as a potential carbon-free energy
                      source, and has also boosted the exploration of alternative
                      ignition schemes [2] with potentially much higher energy
                      gains, such as the proton fast ignition concept pursued by
                      Focused Energy (FE). Proton fast ignition [3], a variant of
                      laser-driven inertial confinement fusion potentially
                      providing much higher energy gain with lower driver energies
                      than conventional hot-spot ignition, is studied with the aim
                      of optimising the conversion efficiency of the short-pulse
                      laser into proton beam energy. To trigger fusion reactions,
                      the ignitor beam needs to carry around 20kJ at several MeV/u
                      into a compressed deuterium-tritium fuel pellet. At FE, we
                      have established a vigorous computational effort to explore
                      and optimize the underlying multiscale physical processes of
                      the proton fast ignition scheme using a combination of
                      multidimensional radiation-hydrodynamics and kinetic
                      particle-in-cell simulation. High-fidelity numerical
                      modelling is key to gaining quantitative understanding of
                      the complex, kinetic behaviour inherent to laser-driven
                      proton acceleration in fusion-relevant scenarios, where
                      experimental data is still scarce. Such an undertaking is
                      computationally expensive, requiring HPC resources upwards
                      of 10s to 100s of million core-hours, but delivers vital
                      guidance for the design of planned experimental
                      facilities.[1] J. Tollefson and E. Gibney, Nature 612,
                      597-598 (2022).[2] M. Tabak et al., Phys. Plasmas 1, 1626
                      (1994); M. Roth et al., Phys. Rev. Lett. 86, 436 (2001).[3]
                      T. Ditmire et al., J. Fusion Energy 42, 27 (2023).},
      month         = {Jan},
      date          = {2024-01-17},
      organization  = {High Performance Edge And Cloud
                       computing 2024, Garching (Germany), 17
                       Jan 2024 - 19 Jan 2024},
      subtyp        = {Invited},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / Simulation and Data
                      Lab Plasma Physics},
      pid          = {G:(DE-HGF)POF4-5111 / G:(DE-Juel-1)SDLPP},
      typ          = {PUB:(DE-HGF)6},
      doi          = {10.34734/FZJ-2024-04682},
      url          = {https://juser.fz-juelich.de/record/1028555},
}