Auflistung nach Autor "Hadjidoukas, P. E."
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Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials
Hadjidoukas, P. E.; Angelikopoulos, P.; Rossinelli, D.; Alexeev, D.; Papadimitriou, C.; Koumoutsakos, P. (2014)Predictions in the behavior of granular materials using Discrete Element Methods (DEM) hinge on the employed interaction potentials. Here we introduce a data driven, Bayesian framework to quantify DEM predictions. Our ... -
Pi 4U: A high performance computing framework for Bayesian uncertainty quantification of complex models
Hadjidoukas, P. E.; Angelikopoulos, P.; Papadimitriou, C.; Koumoutsakos, P. (2015)We present Pi 4U,(1) an extensible framework, for non-intrusive Bayesian Uncertainty Quantification and Propagation (UQ+P) of complex and computationally demanding physical models, that can exploit massively parallel ...