| 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 | 260 | 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 | 206 | 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 | 180 | 2014 |
| On the statistical calibration of physical models K Sargsyan, HN Najm, R Ghanem International Journal of Chemical Kinetics 47 (4), 246-276, 2015 | 160 | 2015 |
| 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 | 110 | 2018 |
| 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 | 107 | 2012 |
| 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 | 92 | 2013 |
| 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 | 90 | 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 | 73 | 2019 |
| Embedded model error representation for Bayesian model calibration K Sargsyan, X Huan, HN Najm International Journal for Uncertainty Quantification 9 (4), 2019 | 71 | 2019 |
| The Uncertainty Quantification Toolkit (UQTk). B Debusschere, K Sargsyan, C Safta, KS Chowdhary Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2015 | 68 | 2015 |
| Breaking down the computational barriers to real‐time urban flood forecasting VY Ivanov, D Xu, MC Dwelle, K Sargsyan, DB Wright, N Katopodes, J Kim, ... Geophysical Research Letters 48 (20), e2021GL093585, 2021 | 54 | 2021 |
| 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 | 54 | 2011 |
| Surrogate models for uncertainty propagation and sensitivity analysis K Sargsyan Handbook of uncertainty quantification, 673-698, 2017 | 49 | 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 | 45 | 2012 |
| Quantifying the Impact of Parametric Uncertainty on Automatic Mechanism Generation for CO2 Hydrogenation on Ni(111) B Kreitz, K Sargsyan, K Blöndal, EJ Mazeau, RH West, GD Wehinger, ... JACS Au 1 (10), 1656-1673, 2021 | 44 | 2021 |
| Compressive sensing with cross-validation and stop-sampling for sparse polynomial chaos expansions X Huan, C Safta, K Sargsyan, ZP Vane, G Lacaze, JC Oefelein, HN Najm SIAM/ASA Journal on Uncertainty Quantification 6 (2), 907-936, 2018 | 44 | 2018 |
| Temporal and spatial variation in peatland carbon cycling and implications for interpreting responses of an ecosystem‐scale warming experiment NA Griffiths, PJ Hanson, DM Ricciuto, CM Iversen, AM Jensen, A Malhotra, ... Soil Science Society of America Journal 81 (6), 1668-1688, 2017 | 44 | 2017 |
| 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 | 42 | 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 | 40 | 2015 |
Habib NajmSandia National LaboratoriesAdresse e-mail validée de sandia.gov