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

collaborators

17 papers

physics.space-ph2022★ 56 cited

A database of MMS bow shock crossings compiled using machine learning

A. Lalti, Yu. V. Khotyaintsev, A. P. Dimmock +3

Identifying collisionless shock crossings in data sent from spacecraft has so far been done manually. It is a tedious job that shock physicists have to go through if they want to c…

physics.space-ph2020★ 10 cited

A comparison of methods for finding magnetic nulls in simulations and in situ observations of space plasmas

Vyacheslav Olshevsky, David Pontin, Benjamin Williams +5

Magnetic nulls are ubiquitous in space plasmas, and are of interest as sites of localized energy dissipation or magnetic reconnection. As such, a number of methods have been propos…

physics.space-ph2020★ 3 cited

Kinetic Modeling of Magnetospheres

Stefano Markidis, Vyacheslav Olshevsky, Gabor Toth +4

This paper presents the state of the art of kinetic modeling techniques for simulating plasma kinetic dynamics in magnetospheres. We describe the critical numerical techniques for…

cs.DC2020

The role of interactive super-computing in using HPC for urgent decision making

Nick Brown, Rupert Nash, Gordon Gibb +4

Technological advances are creating exciting new opportunities that have the potential to move HPC well beyond traditional computational workloads. In this paper we focus on the po…

physics.space-ph2019★ 34 cited

Automated classification of plasma regions using 3D particle energy distributions

Vyacheslav Olshevsky, Yuri V. Khotyaintsev, Ahmad Lalti +8

We investigate the properties of the ion sky maps produced by the Dual Ion Spectrometers (DIS) from the Fast Plasma Investigation (FPI). We have trained a convolutional neural netw…

cs.DC2019★ 6 cited

Multi-GPU Acceleration of the iPIC3D Implicit Particle-in-Cell Code

Chaitanya Prasad Sishtla, Steven W. D. Chien, Vyacheslav Olshevsky +2

iPIC3D is a widely used massively parallel Particle-in-Cell code for the simulation of space plasmas. However, its current implementation does not support execution on multiple GPU…

cs.DC2019★ 14 cited

TensorFlow Doing HPC

Steven W. D. Chien, Stefano Markidis, Vyacheslav Olshevsky +3

TensorFlow is a popular emerging open-source programming framework supporting the execution of distributed applications on heterogeneous hardware. While TensorFlow has been initial…

physics.space-ph2019★ 2 cited

Particle-in-Cell Simulations of Plasma Dynamics in Cometary Environment

Chaitanya Prasad Sishtla, Vyacheslav Olshevsky, Steven W. D. Chien +2

We perform and analyze global Particle-in-Cell (PIC) simulations of the interaction between solar wind and an outgassing comet with the goal of studying the plasma kinetic dynamics…

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…

physics.space-ph2015★ 34 cited

Magnetic null points in kinetic simulations of space plasmas

Vyacheslav Olshevsky, Jan Deca, Andrey Divin +5

We present a systematic attempt to study magnetic null points and the associated magnetic energy conversion in kinetic Particle-in-Cell simulations of various plasma configurations…

physics.space-ph2015★ 4 cited

Role of Z-pinches in magnetic reconnection in space plasmas

Vyacheslav Olshevsky, Giovanni Lapenta, Stefano Markidis +1

A widely accepted scenario of magnetic reconnection in collisionless space plasmas is the breakage of magnetic field lines in X-points. In laboratory, reconnection is commonly stud…

astro-ph.EP2015★ 35 cited

Energy dissipation in magnetic null points at kinetic scales

Vyacheslav Olshevsky, Andrey Divin, Elin Eriksson +2

We use kinetic particle-in-cell and magnetohydrodynamic simulations supported by an observational dataset to investigate magnetic reconnection in clusters of null points in space p…

astro-ph.SR2014

Turbulent convection in the Sun: modeling in unstructured meshes

Vyacheslav Olshevsky, Chunlei Liang, Frank Ham

We adopted an unstructured hydrodynamical solver CharLES to the problem of global convection in the Sun. With the aim to investigate the properties of solar turbulent convection an…