Khachik Sargsyan
Khachik Sargsyan
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Extinction times for birth-death processes: Exact results, continuum asymptotics, and the failure of the Fokker--Planck approximation
CR Doering, KV Sargsyan, LM Sander
Multiscale Modeling & Simulation 3 (2), 283-299, 2005
Enhancing ℓ1-minimization estimates of polynomial chaos expansions using basis selection
JD Jakeman, MS Eldred, K Sargsyan
Journal of Computational Physics 289, 18-34, 2015
Dimensionality reduction for complex models via Bayesian compressive sensing
K Sargsyan, C Safta, HN Najm, BJ Debusschere, D Ricciuto, P Thornton
International Journal for Uncertainty Quantification 4 (1), 2014
Uncertainty quantification in MD simulations. Part II: Bayesian inference of force-field parameters
F Rizzi, HN Najm, BJ Debusschere, K Sargsyan, M Salloum, ...
Multiscale Modeling & Simulation 10 (4), 1460-1492, 2012
Uncertainty quantification in MD simulations. Part I: Forward propagation
F Rizzi, HN Najm, BJ Debusschere, K Sargsyan, M Salloum, ...
Multiscale Modeling & Simulation 10 (4), 1428-1459, 2012
On the statistical calibration of physical models
K Sargsyan, HN Najm, R Ghanem
International Journal of Chemical Kinetics 47 (4), 246-276, 2015
Uncertainty quantification of reaction mechanisms accounting for correlations introduced by rate rules and fitted Arrhenius parameters
J Prager, HN Najm, K Sargsyan, C Safta, WJ Pitz
Combustion and flame 160 (9), 1583-1593, 2013
Sources of cell-to-cell variability in canonical nuclear factor-κB (NF-κB) signaling pathway inferred from single cell dynamic images
MK Kalita, K Sargsyan, B Tian, A Paulucci-Holthauzen, HN Najm, ...
Journal of Biological Chemistry 286 (43), 37741-37757, 2011
Asymptotics of rare events in birth–death processes bypassing the exact solutions
CR Doering, KV Sargsyan, LM Sander, E Vanden-Eijnden
Journal of Physics: Condensed Matter 19 (6), 065145, 2007
A numerical method for some stochastic differential equations with multiplicative noise
CR Doering, KV Sargsyan, P Smereka
Physics Letters A 344 (2-4), 149-155, 2005
Uncertainty Quantification Toolkit.
B Debusschere
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
Uncertainty quantification given discontinuous model response and a limited number of model runs
K Sargsyan, C Safta, B Debusschere, H Najm
SIAM Journal on Scientific Computing 34 (1), B44-B64, 2012
The impact of parametric uncertainties on biogeochemistry in the E3SM land model
D Ricciuto, K Sargsyan, P Thornton
Journal of Advances in Modeling Earth Systems 10 (2), 297-319, 2018
Bayesian calibration of the community land model using surrogates
J Ray, Z Hou, M Huang, K Sargsyan, L Swiler
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 199-233, 2015
Spectral representation and reduced order modeling of the dynamics of stochastic reaction networks via adaptive data partitioning
K Sargsyan, B Debusschere, H Najm, OL Maître
SIAM Journal on Scientific Computing 31 (6), 4395-4421, 2010
Bayesian inference of spectral expansions for predictability assessment in stochastic reaction networks
K Sargsyan, B Debusschere, H Najm, Y Marzouk
Journal of Computational and Theoretical Nanoscience 6 (10), 2283-2297, 2009
A stochastic multiscale coupling scheme to account for sampling noise in atomistic-to-continuum simulations
M Salloum, K Sargsyan, R Jones, B Debusschere, HN Najm, ...
Multiscale Modeling & Simulation 10 (2), 550-584, 2012
Compressive sensing adaptation for polynomial chaos expansions
P Tsilifis, X Huan, C Safta, K Sargsyan, G Lacaze, JC Oefelein, HN Najm, ...
Journal of Computational Physics 380, 29-47, 2019
Validation and uncertainty assessment of extreme-scale hpc simulation through bayesian inference
JJ Wilke, K Sargsyan, JP Kenny, B Debusschere, HN Najm, G Hendry
European Conference on Parallel Processing, 41-52, 2013
Global sensitivity analysis and estimation of model error, toward uncertainty quantification in scramjet computations
X Huan, C Safta, K Sargsyan, G Geraci, MS Eldred, ZP Vane, G Lacaze, ...
AIAA Journal 56 (3), 1170-1184, 2018
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