activity
20142022
most citedA database of MMS bow shock crossings compiled using machine learning

56 citations · 283 across the 17 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

physics.space-ph2018★ 1 cited

Properties of turbulence in the reconnection exhaust: numerical simulations compared with observations

F. Pucci, S. Servidio, L. Sorriso-Valvo +6

The properties of the turbulence which develops in the outflows of magnetic reconnection have been investigated using self-consistent plasma simulations, in three dimensions. As co…

astro-ph.SR2018★ 34 cited

Generation of turbulence in colliding reconnection jets

F. Pucci, W. H. Matthaeus, A. Chasapis +6

The collision of magnetic reconnection jets is studied by means of a three dimensional numerical simulation at kinetic scale, in the presence of a strong guide field. We show that…

physics.space-ph2018★ 23 cited

Non-linear Waves and Instabilities Leading to Secondary Reconnection in Reconnection Outflows

Giovanni Lapenta, Francesco Pucci, Vyacheslav Olshevsky +4

Reconnection outflows are regions of intense recent scrutiny, from in situ observations and from simulations. These regions are host to a variety of instabilities and intense energ…

physics.comp-ph2018★ 18 cited

PolyPIC: the Polymorphic-Particle-in-Cell Method for Fluid-Kinetic Coupling

Stefano Markidis, Vyacheslav Olshevsky, Chaitanya Prasad Sishtla +3

Particle-in-Cell (PIC) methods are widely used computational tools for fluid and kinetic plasma modeling. While both the fluid and kinetic PIC approaches have been successfully use…

physics.comp-ph2018★ 9 cited

Slurm: fluid particle-in-cell code for plasma modeling

Vyacheslav Olshevsky, Fabio Bacchini, Stefaan Poedts +1

With the approach of exascale computing era, particle-based models are becoming the focus of research due to their excellent scalability. We present a new code, Slurm, which implem…