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Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics.

F. Rizzi, M. Salloum, Y. Marzouk, R. Xu, M. Falk, T. Weihs, G. Fritz, and O. Knio. Multiscale Modeling & Simulation, 9 (1): 486-512 (2011)

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Trigger Detection for Adaptive Scientific Workflows Using Percentile Sampling.J. Bennett, A. Bhagatwala, J. Chen, A. Pinar, M. Salloum, and C. Seshadhri. SIAM J. Scientific Computing, (2016)Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models.M. Salloum, K. Sargsyan, R. Jones, H. Najm, and B. Debusschere. Multiscale Modeling & Simulation, 13 (3): 953-976 (2015)Optimal Compressed Sensing and Reconstruction of Unstructured Mesh Datasets.M. Salloum, N. Fabian, D. Hensinger, J. Lee, E. Allendorf, A. Bhagatwala, M. Blaylock, J. Chen, J. Templeton, and I. Tezaur. Data Science and Engineering, 3 (1): 1-23 (2018)Compressed Sensing and Reconstruction of Unstructured Mesh Datasets.M. Salloum, N. Fabian, D. Hensinger, and J. Templeton. CoRR, (2015)A Stochastic Multiscale Coupling Scheme to Account for Sampling Noise in Atomistic-to-Continuum Simulations.M. Salloum, K. Sargsyan, R. Jones, B. Debusschere, H. Najm, and H. Adalsteinsson. Multiscale Modeling & Simulation, 10 (2): 550-584 (2012)Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters.F. Rizzi, H. Najm, B. Debusschere, K. Sargsyan, M. Salloum, H. Adalsteinsson, and O. Knio. Multiscale Modeling & Simulation, 10 (4): 1460-1492 (2012)Uncertainty Quantification in MD Simulations. Part I: Forward Propagation.F. Rizzi, H. Najm, B. Debusschere, K. Sargsyan, M. Salloum, H. Adalsteinsson, and O. Knio. Multiscale Modeling & Simulation, 10 (4): 1428-1459 (2012)Trigger detection for adaptive scientific workflows using percentile sampling.J. Bennett, A. Bhagatwala, J. Chen, C. Seshadhri, A. Pinar, and M. Salloum. CoRR, (2015)In-Situ Mitigation of Silent Data Corruption in PDE Solvers.M. Salloum, J. Mayo, and R. Armstrong. FTXS@HPDC, page 43-48. ACM, (2016)Enabling Adaptive Scientific Workflows Via Trigger Detection.M. Salloum, J. Bennett, A. Pinar, A. Bhagatwala, and J. Chen. ISAV@SC, page 41-45. ACM, (2015)

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Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics.

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Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics.