346 citations · 1.8k across the 82 of their papers we have counts for
13 papers · 1 filter
Characterizing the Performance of the Implicit Massively Parallel Particle-in-Cell iPIC3D Code
Jeremy J. Williams, Daniel Medeiros, Ivy B. Peng +1
Optimizing iPIC3D, an implicit Particle-in-Cell (PIC) code, for large-scale 3D plasma simulations is crucial for space and astrophysical applications. This work focuses on characte…
A Deep Learning-Based Particle-in-Cell Method for Plasma Simulations
Xavier Aguilar, Stefano Markidis
We design and develop a new Particle-in-Cell (PIC) method for plasma simulations using Deep-Learning (DL) to calculate the electric field from the electron phase space. We train a…
On the ions acceleration via collisionless magnetic reconnection in laboratory plasmas
Emanuele Cazzola, Davide Curreli, Stefano Markidis +1
This work presents an analysis of the ion outflow from magnetic reconnection throughout fully kinetic simulations with typical laboratory plasmas values. A symmetric initial config…
Kinetic plasma turbulence during the nonlinear stage of the Kelvin-Helmholtz instability
Koen Kemel, Pierre Henri, Giovanni Lapenta +2
Using a full kinetic, implicit particle-in-cell code, iPiC3D, we studied the properties of plasma kinetic turbulence, such as would be found at the interface between the solar wind…
Signatures of Secondary Collisionless Magnetic Reconnection Driven by Kink Instability of a Flux Rope
S. Markidis, G. Lapenta, G. L. Delzanno +5
The kinetic features of secondary magnetic reconnection in a single flux rope undergoing internal kink instability are studied by means of three-dimensional Particle-in-Cell simula…
Separatrices: the crux of reconnection
Giovanni Lapenta, Stefano Markidis, Andrey Divin +2
Reconnection is one of the key processes in astrophysical and laboratory plasmas: it is the opposite of a dynamo. Looking at energy, a dynamo transforms kinetic energy in magnetic…