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Non-intrusive uncertainty quantification with sparse grids for multivariate peridynamic simulations, , , and . Meshfree 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 storage, , , , , , , , , and 1 other author(s). Dataset, (2019)Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario, , , , , , , , , and 1 other author(s). Computational geosciences, (2019)Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario., , , , , , , , , and 1 other author(s). CoRR, (2018)Classification with Probability Density Estimation on Sparse Grids, , , and . Sparse 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 simulations, , and . Meshfree 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 Surrogates, and . Sparse 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 opening, , , and . International Journal of Fracture, (Mai 2016)B-Splines on Sparse Grids for Surrogates in Uncertainty Quantification, , and . (2019)