91 citations · 336 across the 24 of their papers we have counts for
25 papers
A Symmetry-Constrained Fourier--Morse Framework for Compact Anisotropic Interaction Potentials
Hadis Ghodrati, Sibylle Gemming, Florian Günther +1
Large-scale coarse-grained simulations of anisotropic particles require compact interaction models that retain orientation-dependent energetics. We present a symmetry-constrained F…
Adaptable phase retrieval for coherent transition radiation spectroscopy based on differentiable physics information
Ritz Ann Aguilar, Maxwell LaBerge, Andreas Doepp +6
Coherent transition radiation (CTR) spectroscopy is a critical diagnostic for characterizing the longitudinal structure of relativistic electron bunches in laser-plasma and convent…
Simulation of Self-Assembled Monolayers of Polyalanine -Helices: Development and Application of an Effective Potential for Film Structure Predictions
Hadis Ghodrati Saeini, Kevin Preis, Thi Ngoc Ha +4
Self-assembled monolayers of polyalanine -helices exhibit distinct structural phases with implications for chiral-induced spin selectivity. We combine scanning tunneling microsc…
Patch-MLP-Based Predictive Control: Simulation of Upstream Pointing Stabilization for PHELIX Laser System
Jiaying Wang, Jonas Benjamin Ohland, Yen-Yu Chang +8
High-energy laser facilities such as PHELIX at GSI require excellent beam pointing stability for reproducibility and relative independence for future experiments. Beam pointing sta…
The Artificial Scientist -- in-transit Machine Learning of Plasma Simulations
Jeffrey Kelling, Vicente Bolea, Michael Bussmann +19
Increasing HPC cluster sizes and large-scale simulations that produce petabytes of data per run, create massive IO and storage challenges for analysis. Deep learning-based techniqu…
EZ: An Efficient, Charge Conserving Current Deposition Algorithm for Electromagnetic Particle-In-Cell Simulations
Klaus Steiniger, Rene Widera, Sergei Bastrakov +13
We present EZ, a novel current deposition algorithm for particle-in-cell (PIC) simulations. EZ calculates the current density on the electromagnetic grid due to macro-particle moti…
Dynamical heterogeneity and universality of power-grids
Bálint Hartmann, Géza Ódor, István Papp +3
While weak, tuned asymmetry can improve, strong heterogeneity destroys synchronization in the electric power system. We study the level of heterogeneity, by comparing large high vo…
Revisiting and modeling power-law distributions in empirical outage data of power systems
Bálint Hartmann, Shengfeng Deng, Géza Ódor +1
The size distribution of planned and forced outages and following restoration times in power systems have been studied for almost two decades and has drawn great interest as they d…
Synchronization transitions on connectome graphs with external force
Géza Ódor, István Papp, Shengfeng Deng +1
We investigate the synchronization transition of the Shinomoto-Kuramoto model on networks of the fruit-fly and two large human connectomes. This model contains a force term, thus i…
Synchronization dynamics on the EU and US power grids
Géza Ódor, Shengfeng Deng, Bálint Hartmann +1
Dynamical simulation of the cascade failures on the EU and USA high-voltage power grids has been done via solving the second-order Kuramoto equation. We show that synchronization t…
What makes us humans: Differences in the critical dynamics underlying the human and fruit-fly connectome
Géza Ódor, Gustavo Deco, Jeffrey Kelling
Previous simulation studies on human connectomes suggested, that critical dynamics emerge subcrititcally in the so called Griffiths Phases. %This is the consequence of the strong h…
Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-based Offloading
Jeffrey Kelling, Sergei Bastrakov, Alexander Debus +10
HPC systems employ a growing variety of compute accelerators with different architectures and from different vendors. Large scientific applications are required to run efficiently…
Modelling on the very large-scale connectome
Géza Ódor, Michael Gastner, Jeffrey Kelling +1
In this review, we discuss critical dynamics of simple nonequilibrium models on large connectomes, obtained by diffusion MRI, representing the white matter of the human brain. In t…
The effect of noise on the synchronization dynamics of the Kuramoto model on a large human connectome graph
Géza Ódor, Jeffrey Kelling, Gustavo Deco
We have extended the study of the Kuramoto model with additive Gaussian noise running on the KKI-18 large human connectome graph. We determined the dynamical behavior of this model…
Critical synchronization dynamics of the Kuramoto model on connectome and small world graphs
Géza Ódor, Jeffrey Kelling
The hypothesis, that cortical dynamics operates near criticality also suggests, that it exhibits universal critical exponents which marks the Kuramoto equation, a fundamental model…
Critical dynamics of the Kuramoto model on sparse random networks
R. Juhász, J. Kelling, G. Ódor
We consider the Kuramoto model on sparse random networks such as the Erdős-Rényi graph or its combination with a regular two-dimensional lattice and study the dynamical scaling beh…
Suppressing correlations in massively parallel simulations of lattice models
Jeffrey Kelling, Géza Ódor, Sibylle Gemming
For lattice Monte Carlo simulations parallelization is crucial to make studies of large systems and long simulation time feasible, while sequential simulations remain the gold-stan…
Dynamical universality classes of simple growth and lattice gas models
Jeffrey Kelling, Géza Ódor, Sibylle Gemming
Large scale, dynamical simulations have been performed for the two dimensional octahedron model, describing the Kardar-Parisi-Zhang (KPZ) for nonlinear, or the Edwards-Wilkinson (E…
Local Scale-Invariance of the 2+1 dimensional Kardar-Parisi-Zhang model
Jeffrey Kelling, Géza Ódor, Sibylle Gemming
Local Scale-Invariance theory is tested by extensive dynamical simulations of the driven dimer lattice gas model, describing the surface growth of the 2+1 dimensional Kardar-Parisi…
Bit-Vectorized GPU Implementation of a Stochastic Cellular Automaton Model for Surface Growth
Jeffrey Kelling, Géza Ódor, Sibylle Gemming
Stochastic surface growth models aid in studying properties of universality classes like the Kardar--Paris--Zhang class. High precision results obtained from large scale computatio…
Universality of (2+1)-dimensional restricted solid-on-solid models
Jeffrey Kelling, Géza Ódor, Sibylle Gemming
Extensive dynamical simulations of Restricted Solid on Solid models in dimensions have been done using parallel multisurface algorithms implemented on graphics cards. Numer…
Ageing of the 2+1 dimensional Kardar-Parisi-Zhang model
Géza Ódor, Jeffrey Kelling, Sibylle Gemming
Extended dynamical simulations have been performed on a 2+1 dimensional driven dimer lattice gas model to estimate ageing properties. The auto-correlation and the auto-response fun…
Comparison of Different Parallel Implementations of the 2+1-Dimensional KPZ Model and the 3-Dimensional KMC Model
Jeffrey Kelling, Géza Ódor, Máté Ferenc Nagy +2
We show that efficient simulations of the Kardar-Parisi-Zhang interface growth in 2 + 1 dimensions and of the 3-dimensional Kinetic Monte Carlo of thermally activated diffusion can…
Extremely large scale simulation of a Kardar-Parisi-Zhang model using graphics cards
Jeffrey Kelling, Géza Ódor
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…