activity
19982023
most citedSymplectic Gaussian Process Regression of Hamiltonian Flow Maps

21 citations · 54 across the 9 of their papers we have counts for

collaborators

9 papers

physics.plasm-ph2023★ 1 cited

Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations

Yehor Yudin, David Coster, Udo von Toussaint +1

This work suggests several methods of uncertainty treatment in multiscale modelling and describes their application to a system of coupled turbulent transport simulations of a toka…

physics.comp-ph2021★ 3 cited

Self-consistent ion beam analysis: an approach by multi-objective optimization

Tiago F. Silva, Cleber L. Rodrigues, Nemitala Added +5

Ion Beam Analysis (IBA) comprises a set of analytical techniques suited for material analysis, many of which are rather closely related. Self-consistent analysis of several IBA tec…

physics.comp-ph2020★ 21 cited

Symplectic Gaussian Process Regression of Hamiltonian Flow Maps

Katharina Rath, Christopher G. Albert, Bernd Bischl +1

We present an approach to construct appropriate and efficient emulators for Hamiltonian flow maps. Intended future applications are long-term tracing of fast charged particles in a…

physics.comp-ph2020★ 2 cited

FaVAD: A software workflow for characterisation and visualizing of defects in crystalline structures

U. von Toussaint, F. J. Dominguez-Gutierrez, M. Compostella +1

The analysis of defects and defect dynamics in crystalline materials is important for fundamental science and for a wide range of applied engineering. With increasing system size t…

cond-mat.mtrl-sci2019★ 1 cited

On the classification and quantification of crystal defects after energetic bombardment by machine learned molecular dynamics simulations

F. J. Domínguez-Gutiérrez, J Byggmästar, K. Nordlund +2

The analysis of the damage on plasma facing materials (PFM), due to its direct interaction with the plasma environment, is needed to build the next generation of nuclear machines,…

cond-mat.mtrl-sci2019★ 6 cited

On the detection and classification of material defects in crystalline solids after energetic particle impact simulations

F. J. Dominguez-Gutierrez, U. von Toussaint

We present a fingerprint-like method to analyze material defects after energetic particle irradiation by computing a rotation invariant descriptor vector for each atom of a given s…