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20022023
most citedAdvanced capabilities for materials modelling with Quantum ESPRESSO

7.7k citations

Showing 2019 · physics.plasm-phShow all

9 papers · 2 filters

physics.plasm-ph201916 cited

Efficient start-to-end 3D envelope modeling for two-stage laser wakefield acceleration experiments

Francesco Massimo, Arnaud Beck, Julien Dérouillat +5

Three dimensional Particle in Cell simulations of Laser Wakefield Acceleration require a considerable amount of resources but are necessary to have realistic predictions and to des…

physics.plasm-ph201942 cited

Self-organized patterns by a DC pin liquid anode discharge in ambient air: Effect of liquid types on formation

Shiqiang Zhang, Thierry Dufour

A pin liquid anode DC discharge is generated in open air without any additional gas feeding to form self-organized patterns (SOPs) on various liquid interfaces. Axially resolved em…

physics.plasm-ph201975 cited

Energy cascade rate measured in a collisionless space plasma with MMS data and compressible Hall magnetohydrodynamic turbulence theory

Nahuel Andrés, Fouad Sahraoui, Sebastien Galtier +3

The first complete estimation of the compressible energy cascade rate at magnetohydrodynamic (MHD) and sub-ion scales is obtained in the Earth's magnetoshe…

physics.plasm-ph201924 cited

A necessary condition for perpendicular electric field control in magnetized plasmas

Renaud Gueroult, Jean-Marcel Rax, Nathaniel J. Fisch

The electrostatic model proposed by Poulos [Phys. Plasmas (2019), , 022104] to describe the electric potential distribution across and along a magnetized plasma column…

physics.plasm-ph201927 cited

Nonlinear dynamics of laser-generated ion-plasma gratings: a unified description

H. Peng, C. Riconda, M. Grech +2

Laser-generated plasma gratings are dynamic optical elements for the manipulation of coherent light at high intensities, beyond the damage threshold of solid-stated based materials…

physics.plasm-ph201910 cited

Numerical study of tearing mode seeding in tokamak X-point plasma

Dmytro Meshcheriakov, Matthias Hoelzl, Valentin Igochine +11

A detailed understanding of island seeding is crucial to avoid (N)TMs and their negative consequences like confinement degradation and disruptions. In the present work, we investig…