The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Smilei : A collaborative, open-source, multi-purpose particle-in-cell code for plasma simulation
Open accessAbstract
Abstract Smilei is a collaborative, open-source, object-oriented (C++) particle-in-cell code. To benefit from the latest advances in high-performance computing (HPC), Smilei is co-developed by both physicists and HPC experts. The code’s structures, capabilities, parallelization strategy and performances are discussed. Additional modules (e.g. to treat ionization or collisions), benchmarks and physics highlights are also presented. Multi-purpose and evolutive, Smilei is applied today to a wide range of physics studies, from relativistic laser–plasma interaction to astrophysical plasmas. Program summary Program title: Smilei (version 3.2) Program Files doi: http://dx.doi.org/10.17632/gsn4x6mbrg.1 Licensing provisions: This version of the code is distributed under the GNU General Public License v3 Programming language: C++11, Python 2.7 Nature of the problem: The kinetic simulation of plasmas is at the center of various physics studies, from laser–plasma interaction to astrophysics. To address today’s challenges, a versatile simulation tool requires high-performance computing on massively parallel super-computers. Solution method: The Vlasov–Maxwell system describing the self-consistent evolution of a collisionless plasma is solved using the Particle-In-Cell (PIC) method. Additional physics modules allow to account for additional effects such as collisions and/or ionization. A hybrid MPI-OpenMP strategy, based on a patch-based super-decomposition, allows for efficient cache-use, dynamic load balancing and high-performance on massively parallel super-computers. Additional comments: Repository https://github.com/SmileiPIC/Smilei References: http://www.maisondelasimulation.fr/smilei
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Citations
Cites
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BackgroundA laser–plasma accelerator producing monoenergetic electron beams
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“UHI laser-plasma interaction has indeed been successfully applied to probing matter under extreme conditions of temperature and pressure, opening the way to various promising applications such as charged-particle (electron and ion) acceleration [3, 4, 5, 6, 7, 8], ultra-bright light sources of unprecedented short dura…”
BackgroundHigh-quality electron beams from a laser wakefield accelerator using plasma-channel guiding
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“UHI laser-plasma interaction has indeed been successfully applied to probing matter under extreme conditions of temperature and pressure, opening the way to various promising applications such as charged-particle (electron and ion) acceleration [3, 4, 5, 6, 7, 8], ultra-bright light sources of unprecedented short dura…”
BackgroundMonoenergetic beams of relativistic electrons from intense laser–plasma interactions
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BackgroundLarge Scale Dynamics of Interacting Particles
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Cited by
Holste, K., Dietz, P., Scharmann, S., Keil, K., Henning, T., Zschätzsch, D., Reitemeyer, M., Nauschütt, B., Kiefer, F., Kunze, F., et al. (2020) · Review of Scientific Instruments · doi:10.1063/5.0010134 · Cited by 207
Physics of E × B discharges relevant to plasma propulsion and similar technologies
Kaganovich, I. D., Smolyakov, A., Raitses, Y., Ahedo, E., Mikellides, I. G., Jorns, B., Taccogna, F., Gueroult, R., Tsikata, S., Bourdon, A., et al. (2020) · Physics of Plasmas · doi:10.1063/5.0010135 · Cited by 202
“…i.e., 10 18 FLOPs per second) and improved algorithm effi-ciency will enable the development of full-resolution 3D ES-PIC models of HTs within the coming decade, as is routinely performed within the laser-plasma accelerator PIC modeling community with OSIRIS, 247 PICADOR, 248 SMILEI, 249 and PICSAR.”
Gueroult, R., Fubiani, G., & Garrigues, L. (2018) · Frontiers in Physics · doi:10.3389/fphy.2018.00128 · Cited by 1
Metadata
- Authors
- Derouillat, J., Beck, A., Pérez, F., Vinci, T., Chiaramello, M., Grassi, A., Flé, M., Bouchard, G., Plotnikov, I., Aunai, N., Dargent, J., Riconda, C., & Grech, M.
- Venue
- Computer Physics Communications
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 222
- Pages
- 351-373
- ISSN
- 0010-4655 (ISSN-L)
- OpenAlex
- W2762756599
- Cited by
- 579
- References
- 43
- FWCI
- 12.89
- Type
- journal article
- Language
- en
- Open access
- green
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- Derouillat, J., Beck, A., Pérez, F., Vinci, T., Chiaramello, M., Grassi, A., Flé, M., Bouchard, G., Plotnikov, I., Aunai, N., Dargent, J., Riconda, C., & Grech, M. (2018). Smilei : A collaborative, open-source, multi-purpose particle-in-cell code for plasma simulation. Computer Physics Communications. https://doi.org/10.1016/j.cpc.2017.09.024
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