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@ARTICLE{Peravali:622606,
      author       = {Peravali, Surya Kiran and Samanta, Amit Kumar and Amin,
                      Muhamed and Neumann, Philipp and Küpper, Jochen and Breuer,
                      Michael},
      title        = {{A}n improved numerical simulation methodology for
                      nanoparticle injection through aerodynamic lens systems},
      journal      = {Physics of fluids},
      volume       = {37},
      issn         = {1527-2435},
      address      = {College Park, Maryland},
      publisher    = {American Institute of Physics},
      reportid     = {PUBDB-2025-00417},
      pages        = {033380},
      year         = {2025},
      abstract     = {Aerosol injectors applied in single-particle diffractive
                      imaging experiments demonstrated their potential in
                      efficiently delivering nanoparticles with high density.
                      Continuous optimization of injector design is crucial for
                      achieving high-density particle streams, minimizing
                      background gas, enhancing X-ray interactions, and generating
                      high-quality diffraction patterns. We present an updated
                      simulation framework designed for the fast and effective
                      exploration of the experimental parameter space to enhance
                      the optimization process. The framework includes both the
                      simulation of the carrier gas and the particle trajectories
                      within injectors and their expansion into the experimental
                      vacuum chamber. A hybrid molecular-continuum-simulation
                      method (DSMC/CFD) is utilized to accurately capture the
                      multi-scale nature of the flow. The simulation setup,
                      initial benchmark results of the coupled approach, and the
                      validation of the entire methodology against experimental
                      data are presented.},
      keywords     = {Fluid Dynamics (physics.flu-dyn) (Other) / FOS: Physical
                      sciences (Other)},
      cin          = {FS-CFEL-CMI / HSU / UNI/CUI / UNI/EXP},
      ddc          = {530},
      cid          = {I:(DE-H253)FS-CFEL-CMI-20220405 / I:(DE-H253)HSU-20230616 /
                      $I:(DE-H253)UNI_CUI-20121230$ /
                      $I:(DE-H253)UNI_EXP-20120731$},
      pnm          = {631 - Matter – Dynamics, Mechanisms and Control
                      (POF4-631) / HIDSS-0002 - DASHH: Data Science in Hamburg -
                      Helmholtz Graduate School for the Structure of Matter
                      $(2019_IVF-HIDSS-0002)$ / AIM, DFG project
                      G:(GEPRIS)390715994 - EXC 2056: CUI: Advanced Imaging of
                      Matter (390715994)},
      pid          = {G:(DE-HGF)POF4-631 / $G:(DE-HGF)2019_IVF-HIDSS-0002$ /
                      G:(GEPRIS)390715994},
      experiment   = {EXP:(DE-MLZ)NOSPEC-20140101},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001456427100014},
      doi          = {10.1063/5.0260295},
      url          = {https://bib-pubdb1.desy.de/record/622606},
}