Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models

Author:

Salloum Maher,Sargsyan Khachik,Jones Reese,Najm Habib N.,Debusschere Bert

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Computer Science Applications,General Physics and Astronomy,Ecological Modeling,Modeling and Simulation,General Chemistry

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hierarchical multiscale model calibration and validation for materials applications;Uncertainty Quantification in Multiscale Materials Modeling;2020

2. Bayesian calibration of force fields for molecular simulations;Uncertainty Quantification in Multiscale Materials Modeling;2020

3. Stochastic Domain Decomposition via Moment Minimization;SIAM Journal on Scientific Computing;2018-01

4. A multiphysics model for charged liquid droplet breakup in electric fields;International Journal of Multiphase Flow;2017-04

5. Uncertainty Quantification at the Molecular–Continuum Model Interface;Fluids;2017-03-21

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