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20082025
most citedThe sonic scale revealed by the world's largest supersonic turbulence simulation

151 citations

Showing 2020Show all

9 papers · 1 filter

quant-ph2020★ 37 cited

Quantum Algorithms for Solving Ordinary Differential Equations via Classical Integration Methods

Benjamin Zanger, Christian B. Mendl, Martin Schulz +1

Identifying computational tasks suitable for (future) quantum computers is an active field of research. Here we explore utilizing quantum computers for the purpose of solving diffe…

astro-ph.GA2020★ 151 cited

The sonic scale revealed by the world's largest supersonic turbulence simulation

Christoph Federrath, Ralf S. Klessen, Luigi Iapichino +1

Understanding the physics of turbulence is crucial for many applications, including weather, industry, and astrophysics. In the interstellar medium (ISM), supersonic turbulence pla…

cs.MS2020★ 29 cited

VECMAtk: A Scalable Verification, Validation and Uncertainty Quantification Toolkit for Scientific Simulations

D. Groen, H. Arabnejad, V. Jancauskas +23

We present the VECMA toolkit (VECMAtk), a flexible software environment for single and multiscale simulations that introduces directly applicable and reusable procedures for verifi…

astro-ph.GA2020★ 27 cited

SMART: A new implementation of Schwarzschild's Orbit Superposition technique for triaxial galaxies and its application to an N-body merger simulation

Bianca Neureiter, Jens Thomas, Roberto Saglia +6

We present SMART, a new 3D implementation of the Schwarzschild Method and its application to a triaxial N-body merger simulation. SMART fits full line-of-sight velocity distributio…

astro-ph.HE2020★ 17 cited

How much H and He is "hidden" in SNe Ib/c? -- II. Intermediate-mass objects: a 22 M progenitor case study

Jacob Teffs, Thomas Ertl, Paolo Mazzali +2

Stripped envelope supernovae are a sub-class of core collapse supernovae showing several stages of H/He shell stripping that determines the class: H-free/He-poor SNe are classified…

cs.DC2020★ 28 cited

A Machine Learning Approach to Online Fault Classification in HPC Systems

Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu +3

As High-Performance Computing (HPC) systems strive towards the exascale goal, failure rates both at the hardware and software levels will increase significantly. Thus, detecting an…