Jeffrey Kelling
Helmholtz-Zentrum Dresden-Rossendorf
38 Papers
57 Citations
Jeffrey Kelling is an academic researcher from Helmholtz-Zentrum Dresden-Rossendorf. The author has contributed to research in topics: Kuramoto model & Computer science. The author has an hindex of 9, co-authored 26 publications. Previous affiliations of Jeffrey Kelling include Chemnitz University of Technology.
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Papers
Extremely large-scale simulation of a Kardar-Parisi-Zhang model using graphics cards
Jeffrey Kelling,Géza Ódor +1 more
TL;DR: The octahedron model introduced recently has been implemented onto graphics cards, which permits extremely large-scale simulations via binary lattice gases and bit-coded algorithms, and scaling behavior belonging to the two-dimensional Kardar-Parisi-Zhang universality class is confirmed.
DNA-Mold Templated Assembly of Conductive Gold Nanowires.
Turkan Bayrak,Seham Helmi,Jingjing Ye,Dominik J. Kauert,Jeffrey Kelling,Tommy Schönherr,Richard Weichelt,Artur Erbe,Ralf Seidel +8 more
TL;DR: This work introduces a new concept for the solution-based fabrication of conductive gold nanowires using DNA templates using DNA nanomolds, inside which electroless gold deposition is initiated by site-specific attached seeds.
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Aging of the (2+1)-dimensional Kardar-Parisi-Zhang model
TL;DR: The extended dynamical simulations performed on a (2+1)-dimensional driven dimer lattice-gas model to estimate aging properties contribute to the understanding of the universality class of that basic system.
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Universality of (2+1)-dimensional restricted solid-on-solid models
TL;DR: Numerical evidence is presented that these models exhibit Kardar-Parisi-Zhang surface growth scaling, irrespective of the step heights N, and it is shown that by increasing N the corrections to scaling increase, thus smaller step-sized models describe better the asymptotic, long-wave-scaling behavior.
Critical dynamics of the Kuramoto model on sparse random networks
TL;DR: In this article, the authors consider the Kuramoto model on sparse random networks such as the Erdős-Renyi graph or its combination with a regular two-dimensional lattice and study the dynamical scaling behavior of the model at the synchronization transition by large-scale, massively parallel numerical integration.
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