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Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models., , , , и . Multiscale Model. Simul., 13 (3): 953-976 (2015)Optimal Compressed Sensing and Reconstruction of Unstructured Mesh Datasets., , , , , , , , , и . Data Sci. Eng., 3 (1): 1-23 (2018)Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters., , , , , , и . Multiscale Modeling & Simulation, 10 (4): 1460-1492 (2012)Multi-scale study of nanoparticle transport and deposition in tissues during an injection process., , , и . Medical Biol. Eng. Comput., 48 (9): 853-863 (2010)Physics-Based Checksums for Silent-Error Detection in PDE Solvers., , и . Euro-Par Workshops, том 11997 из Lecture Notes in Computer Science, стр. 681-693. Springer, (2019)Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics., , , , , , , и . Multiscale Model. Simul., 9 (1): 486-512 (2011)Enabling Adaptive Scientific Workflows Via Trigger Detection., , , , и . ISAV@SC, стр. 41-45. ACM, (2015)In-Situ Mitigation of Silent Data Corruption in PDE Solvers., , и . FTXS@HPDC, стр. 43-48. ACM, (2016)Trigger detection for adaptive scientific workflows using percentile sampling., , , , , и . CoRR, (2015)