Georgios Arampatzis
Georgios Arampatzis
Chair of Computational Science, ETH, Zürich
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms
G Arampatzis, MA Katsoulakis, P Plecháč, M Taufer, L Xu
Journal of Computational Physics 231 (23), 7795-7814, 2012
Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms
G Arampatzis, MA Katsoulakis, P Plecháč, M Taufer, L Xu
Journal of Computational Physics 231 (23), 7795-7814, 2012
Goal-oriented sensitivity analysis for lattice kinetic Monte Carlo simulations
G Arampatzis, MA Katsoulakis
The Journal of chemical physics 140 (12), 124108, 2014
Accelerated sensitivity analysis in high-dimensional stochastic reaction networks
G Arampatzis, MA Katsoulakis, Y Pantazis
PloS one 10 (7), e0130825, 2015
Automated identification and deep classification of cut marks on bones and its paleoanthropological implications
W Byeon, M Domínguez-Rodrigo, G Arampatzis, E Baquedano, ...
Journal of Computational Science 32, 36-43, 2019
Data driven inference for the repulsive exponent of the Lennard-Jones potential in molecular dynamics simulations
L Kulakova, G Arampatzis, P Angelikopoulos, P Hadjidoukas, ...
Scientific reports 7 (1), 1-10, 2017
Efficient estimators for likelihood ratio sensitivity indices of complex stochastic dynamics
G Arampatzis, MA Katsoulakis, L Rey-Bellet
The Journal of chemical physics 144 (10), 104107, 2016
Parallelization, processor communication and error analysis in lattice kinetic Monte Carlo
G Arampatzis, MA Katsoulakis, P Plechac
SIAM Journal on Numerical Analysis 52 (3), 1156-1182, 2014
Unravelling the viscoelastic, buffer-like mechanical behavior of tendons: A numerical quantitative study at the fibril-fiber scale
N Karathanasopoulos, G Arampatzis, JF Ganghoffer
Journal of the mechanical behavior of biomedical materials 90, 256-263, 2019
Data-driven inference of the reproduction number for COVID-19 before and after interventions for 51 European countries
P Karnakov, G Arampatzis, I Kičić, F Wermelinger, D Wälchli, ...
Swiss medical weekly 150, w20313, 2020
Bayesian selection for coarse-grained models of liquid water
J Zavadlav, G Arampatzis, P Koumoutsakos
Scientific reports 9 (1), 1-10, 2019
Optimal sensor placement for artificial swimmers
S Verma, C Papadimitriou, N Lüthen, G Arampatzis, P Koumoutsakos
Journal of Fluid Mechanics 884, 2020
Reference ranges for fetal atrioventricular and ventriculoatrial time intervals and their ratios during normal pregnancy
B Mosimann, G Arampatzis, S Amylidi-Mohr, A Bessire, M Spinelli, ...
Fetal diagnosis and therapy 44 (3), 228-235, 2018
Implicit high-order time marching schemes for the linearized Euler equations
G Arabatzis, P Vavilis, I Toulopoulos, JA Ekaterinaris
AIAA journal 45 (8), 1819-1826, 2007
Optimal flow sensing for schooling swimmers
P Weber, G Arampatzis, G Novati, S Verma, C Papadimitriou, ...
Biomimetics 5 (1), 10, 2020
S -Leaping: An Adaptive, Accelerated Stochastic Simulation Algorithm, Bridging τ -Leaping and R -Leaping
J Lipková, G Arampatzis, P Chatelain, B Menze, P Koumoutsakos
Bulletin of mathematical biology 81 (8), 3074-3096, 2019
Data-driven prediction and origin identification of epidemics in population networks
K Larson, C Bowman, Z Chen, P Hadjidoukas, C Papadimitriou, ...
arXiv preprint arXiv:1710.07880, 2017
Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics
G Arampatzis, D Walchli, P Angelikopoulos, S Wu, P Hadjidoukas, ...
SIAM Journal on Scientific Computing 40 (3), B788-B811, 2018
Optimal allocation of limited test resources for the quantification of COVID-19 infections
M Chatzimanolakis, P Weber, G Arampatzis, D Wälchli, I Kičić, ...
medRxiv, 2020
Bayesian calibration of force fields for molecular simulations
F Cailliez, P Pernot, F Rizzi, R Jones, O Knio, G Arampatzis, ...
Uncertainty Quantification in Multiscale Materials Modeling, 169-227, 2020
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