activity
20222025
most citedInvestigation of the Robustness of Neural Density Fields

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.DC2025

Tuning of Vectorization Parameters for Molecular Dynamics Simulations in AutoPas

Luis Gall, Samuel James Newcome, Fabio Alexander Gratl +3

Molecular Dynamics simulations can help scientists to gather valuable insights for physical processes on an atomic scale. This work explores various techniques for SIMD vectorizati…

cs.CE2025

The Multiple Time-Stepping Method for 3-Body Interactions in High Performance Molecular Dynamics Simulations

David Martin, Samuel James Newcome, Markus Mühlhäußer +3

Understanding the complex behavior of molecular systems is fundamental to fields such as physics, materials science, and biology. Molecular dynamics (MD) simulations are crucial to…

cs.CE2025

Algorithm Selection in Short-Range Molecular Dynamics Simulations

Samuel James Newcome, Fabio Alexander Gratl, Manuel Lerchner +3

Numerous algorithms and parallelisations have been developed for short-range particle simulations; however, none are optimally performant for all scenarios. Such a concept led to t…

astro-ph.EP2023★ 2 cited

Investigation of the Robustness of Neural Density Fields

Jonas Schuhmacher, Fabio Gratl, Dario Izzo +1

Recent advances in modeling density distributions, so-called neural density fields, can accurately describe the density distribution of celestial bodies without, e.g., requiring a…

astro-ph.EP2022

Deterministic Conjunction Tracking in Long-term Space Debris Simulations

Pablo Gómez, Fabio Gratl, Oliver Bösing +1

Numerical simulations are at the center of predicting the space debris environment of the upcoming decades. In light of debris generating events, such as continued anti-satellite w…