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Disambiguation of "Najm, Habib N."

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Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters.

, , , , , , and . Multiscale Modeling & Simulation, 10 (4): 1460-1492 (2012)

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Leo Najman

Oliver Najmann

Laurent Najman

Nour Addeen Najm

Juliane Najm

 

Other publications of authors with the same name

Multifidelity Neural Network Formulations for Prediction of Reactive Molecular Potential Energy Surfaces., , , and . J. Chem. Inf. Model., 63 (8): 2281-2295 (April 2023)Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters., , , , , , and . Multiscale Modeling & Simulation, 10 (4): 1460-1492 (2012)Validation and Uncertainty Assessment of Extreme-Scale HPC Simulation through Bayesian Inference., , , , , and . Euro-Par, volume 8097 of Lecture Notes in Computer Science, page 41-52. Springer, (2013)Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection., , , , and . J. Sci. Comput., 50 (2): 306-340 (2012)Distributionally Robust Optimization with Principal Component Analysis., , , , , and . SIAM J. Optim., 28 (2): 1817-1841 (2018)Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities., , , and . ICDM Workshops, page 241-247. IEEE Computer Society, (2009)A second-order coupled immersed boundary-SAMR construction for chemically reacting flow over a heat-conducting Cartesian grid-conforming solid., , , , and . J. Comput. Phys., (2014)Using High-Order Methods on Adaptively Refined Block-Structured Meshes: Derivatives, Interpolations, and Filters., , , and . SIAM J. Sci. Comput., 29 (1): 139-181 (2007)Entropy-based closure for probabilistic learning on manifolds., , , , , , , , , and . J. Comput. Phys., (2019)Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models., , , , and . Multiscale Model. Simul., 13 (3): 953-976 (2015)