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Non-intrusive uncertainty quantification with sparse grids for multivariate peridynamic simulationsMeshfree Methods for Partial Differential Equations VII, volume 100 of Lecture Notes in Computational Science and Engineering, Sonstige, (January 2014)Datasets and executables of data-driven uncertainty quantification benchmark in carbon dioxide storageDataset, (2019)Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenarioComputational geosciences, (2019)Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario.CoRR, (2018)Classification with Probability Density Estimation on Sparse GridsSparse Grids and Applications - Munich 2012, volume 97 of Lecture Notes in Computational Science and Engineering, page 255--270. Springer International Publishing, (January 2014)Non-intrusive uncertainty quantification with sparse grids for multivariate peridynamic simulationsMeshfree methods for partial differential equations, volume 7 of Lecture notes in computational science and engineering, page 115-143. Cham, Springer, (2015)Limiting Ranges of Function Values of Sparse Grid SurrogatesSparse grids and applications - Miami 2016, 123, page 69-91. Cham, Springer, (2018)Data-Driven Uncertainty Quantification for Large-Scale Simulations.University of Stuttgart, Germany, (2018)Bond-based peridynamics: a quantitative study of Mode I crack openingInternational Journal of Fracture, (Mai 2016)B-Splines on Sparse Grids for Surrogates in Uncertainty