Publications

V. N. Tran, M. S. Dwelle, K. Sargsyan, V. Ivanov. A novel modeling framework to secure efficiency and accuracy in real-time ensemble flood forecasting. Water Resources Research, 2020.

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K. Sargsyan, X. Huan, H. Najm. Embedded model error representation for Bayesian model calibration. International Journal for Uncertainty Quantification, 2019.

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P. Rai, K. Sargsyan, H. Najm, S. Hirata. Sparse Low Rank Approximation of Potential Energy Surfaces with Applications in Estimation of Anharmonic Zero Point Energies and Frequencies. Journal of Mathematical Chemistry, 2019.

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M. C. Dwelle, J. Kim, K. Sargsyan, V. Ivanov. Streamflow, stomata, and soil pits: sources of inference for complex models with fast, robust uncertainty quantification. Advances in Water Resources, 2019.

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P. Tsilifis, X. Huan, C. Safta, K. Sargsyan, G. Lacaze, J. C. Oefelein, H. N. Najm, R. G. Ghanem. Compressive sensing adaptation for polynomial chaos expansions. 2019.

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O. Cekmer, K. Sargsyan, S. Blondel, H. Najm, D. Bernholdt, B. D. Wirth. Uncertainty quantification for incident helium flux in plasma-exposed tungsten. International Journal for Uncertainty Quantification, 2018.

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P. Rai, K. Sargsyan, H. Najm. Compressed sparse tensor based quadrature for vibrational quantum mechanics integrals. Computer Methods in Applied Mechanics and Engineering, 2018.

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X. Huan, C. Safta, K. Sargsyan, Z. P. Vane, G. Lacaze, J. C. Oefelein, H. N. Najm. Compressive sensing with cross-validation and stop-sampling for sparse polynomial chaos expansions. SIAM/ASA Journal of Uncertainty Quantification, 2018.

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J. Kenny, K. Sargsyan, S. Knight, G. Michelogiannakis, J. Wilke. The Pitfalls of Provisioning Exascale Networks: A Trace Replay Analysis for Understanding Communication Performance. High Performance Computing, 2018.

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F. Rizzi, K. Morris, K. Sargsyan, P. Mycek, C. Safta, O. Le Maı̂tre, O. Knio, B. Debusschere. Exploring the Interplay of Resilience and Energy Consumption for a Task-Based Partial Differential Equations Preconditioner. Parallel Computing, 2018.

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L. Hakim, G. Lacaze, M. Khalil, K. Sargsyan, H. Najm, J. Oefelein. Probabilistic parameter estimation in a 2-step chemical kinetics model for n-dodecane jet autoignition. Combustion Theory and Modeling, 2018.

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X. Huan, C. Safta, K Sargsyan, G. Geraci, M. S. Eldred, Z. P. Vane, G. Lacaze, J. C. Oefelein, Habib N. Najm. Global Sensitivity Analysis and Estimation of Model Error, toward Uncertainty Quantification in Scramjet Computations. AIAA Journal, 2018.

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D. Ricciuto, K. Sargsyan, P. Thornton. The Impact of Parametric Uncertainties on Biogeochemistry in the E3SM Land Model. Journal of Advances in Modeling Earth Systems, 2018.

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X. Huan, G. Geraci, C. Safta, M.S. Eldred, K. Sargsyan, Z.P. Vane, J.C. Oefelein, H.N. Najm. Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations. AIAA SciTech Forum, 2018.

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N. Griffiths, P. Hanson, C. Iversen, A. Malhotra, K. McFarlane, R. Norby, D. Ricciuto, K. Sargsyan, S. Sebestyen, X. Shi, A. Walker, E. Ward, J. Warren, D. Weston. Temporal and spatial variation in peatland carbon cycling and implications for interpreting responses of an ecosystem-scale warming experiment. Soil Science Society of America, 2017.

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P. Rai, K. Sargsyan, H. Najm, M.R. Hermes, S. Hirata. Low-rank canonical-tensor decomposition of potential energy surfaces: application to grid-based diagrammatic vibrational Green's function theory. Molecular Physics, 2017.

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M. Khalil, K. Chowdhary, C. Safta, K. Sargsyan, H. N. Najm. Inference of Reaction Rate Parameters based on Summary Statistics from Experiments. Proc. Comb. Inst., 2017.

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P. Mycek, A. Contreras, O. Le Maı̂tre, K. Sargsyan, F. Rizzi, K. Morris, C. Safta, B. Debusschere, O. Knio. A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs. Computer Physics Communications, 2017.

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B. Debusschere, K. Sargsyan, C. Safta, K. Chowdhary. The Uncertainty Quantification Toolkit (UQTk). Handbook of Uncertainty Quantification, 2017.

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K. Sargsyan. Surrogate Models for Uncertainty Propagation and Sensitivity Analysis. Handbook of Uncertainty Quantification, 2017.

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F. Rizzi, K. Morris, K. Sargsyan, P. Mycek, C. Safta, O. Le Maı̂tre, O. Knio, B. Debusschere. Partial differential equations preconditioner resilient to soft and hard faults. The International Journal of High Performance Computing Applications, 2017.

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X. Huan, C. Safta, K. Sargsyan, G. Geraci, M. Eldred, Z. Vane, G. Lacaze, J. Oefelein, H. Najm. Global Sensitivity Analysis and Quantification of Model Error for Large Eddy Simulation in Scramjet Design. 19th AIAA Non-Deterministic Approaches Conference, 2017.

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P. Mycek, F. Rizzi, O. Le Maı̂tre, K. Sargsyan, K. Morris, C. Safta, B. Debusschere, O. Knio. Discrete A Priori Bounds for the Detection of Corrupted PDE Solutions in Exascale Computations. SIAM Journal on Scientific Computing, 2017.

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K. Morris, F. Rizzi, B. Cook, P. Mycek, O. Le Maître, O. Knio, K. Sargsyan, K. Dahlgren, B. Debusschere. Performance scaling variability and energy analysis for a resilient ULFM-based PDE solver. 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA), 2016.

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C. Safta, M. Blaylock, J. Templeton, S. Domino, K. Sargsyan, H. Najm. Uncertainty Quantification in LES of Channel Flow. International Journal for Numerical Methods in Fluids, 2016.

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K. Morris, F. Rizzi, K. Sargsyan, K. Dahlgren, P. Mycek, C. Safta, O. Le Maître, O. Knio, B. Debusschere. Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults. Proceedings of High Performance Computing: 31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, 2016.

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F. Rizzi, K. Morris, K. Sargsyan, P. Mycek, C. Safta, B. Debusschere, O. Le Maı̂tre, O. Knio. ULFM-MPI implementation of a resilient task-based partial differential equations preconditioner. Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale, 2016.

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F. Rizzi, K. Morris, K. Sargsyan, P. Mycek, C. Safta, O. LeMaı̂tre, O. Knio, B. Debusschere. Partial differential equations preconditioner resilient to soft and hard faults. 2015 IEEE International Conference on Cluster Computing (CLUSTER), 2015.

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K. Sargsyan, F. Rizzi, P. Mycek, C. Safta, K. Morris, H. Najm, O. Le Maître, O. Knio, B. Debusschere. Fault Resilient Domain Decomposition Preconditioner for PDEs. SIAM Journal on Scientific Computing, 2015.

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M. Salloum, K. Sargsyan, R. Jones, H. Najm, B. Debusschere. Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models. Multiscale Modeling & Simulation, 2015.

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C. Safta, D. Ricciuto, K. Sargsyan, B. Debusschere, H. N. Najm, M. Williams, P. Thornton. Global Sensitivity Analysis, Probabilistic Calibration, and Predictive Assessment for the Data Assimilation Linked Ecosystem Carbon Model. Geosci. Model Dev., 2015.

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J. D. Jakeman, M. S. Eldred, K. Sargsyan. Enhancing l1-minimization estimates of polynomial chaos expansions using basis selection. Journal of Computational Physics, 2015.

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J. Ray, Z. Hou, M. Huang, K. Sargsyan, L. Swiler. Bayesian calibration of the Community Land Model using surrogates. SIAM/ASA Journal on Uncertainty Quantification, 2015.

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C. Safta, K. Sargsyan, H. N. Najm, K. Chowdhary, B. Debusschere, L. P. Swiler, M. S. Eldred. Probabilistic Methods for Sensitivity Analysis and Calibration of Computer Models in the NASA Challenge Problem. Journal of Aerospace Information Systems, 2015.

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K. Sargsyan, H.N. Najm, R. Ghanem. On the Statistical Calibration of Physical Models. International Journal of Chemical Kinetics, 2015.

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C. Safta, K. Sargsyan, B. Debusschere, H. N. Najm. Hybrid discrete/continuum algorithms for stochastic reaction networks. Journal of Computational Physics, 2015.

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H. N. Najm, R. D. Berry, C. Safta, K. Sargsyan, B. J. Debusschere. Data Free Inference of Uncertain Parameters in Chemical Models. International Journal for Uncertainty Quantification, 2014.

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C. Safta, K. Chowdhary, K. Sargsyan, H. N. Najm, B. Debusschere, L. P. Swiler, M. S. Eldred. Uncertainty Quantification Methods for Model Calibration, Validation, and Risk Analysis. AIAA-2014-1497, 16-th AIAA Non-Deterministic Approaches Conference, 2014.

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K. Sargsyan, C. Safta, H. Najm, B. Debusschere, D. Ricciuto, P. Thornton. Dimensionality reduction for complex models via Bayesian compressive sensing. International Journal of Uncertainty Quantification, 2014.

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J. Prager, H. N. Najm, K. Sargsyan, C. Safta, W. J. Pitz. Uncertainty Quantification of Reaction Mechanisms Accounting for Correlations Introduced by Rate Rules and Fitted Arrhenius Parameters. Combustion and Flame, 2013.

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J. Wilke, K. Sargsyan, J. Kenny, B. Debusschere, H. Najm, G. Hendry. Validation and uncertainty assessment of extreme-scale HPC simulation through Bayesian inference. European Conference on Parallel Processing, 2013.

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First author's name, Second author's name. A publication title, such as title of a paper. In ICA, 2013.

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F. Rizzi, O. M. Knio, H. N. Najm, B. J. Debusschere, K. Sargsyan, M. Salloum, H. Adalsteinsson. Uncertainty Quantification in MD Simulations. Part II: Inference of force-field parameters. SIAM J. Multiscale Model. Simul, 2012.

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F. Rizzi, O. M. Knio, H. N. Najm, B. J. Debusschere, K. Sargsyan, M. Salloum, H. Adalsteinsson. Uncertainty Quantification in MD Simulations. Part I: Stochastic reformulation of the forward problem. SIAM J. Multiscale Model. Simul, 2012.

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K. Sargsyan, C. Safta, B. Debusschere, H. Najm. Multiparameter Spectral Representation of Noise-Induced Competence in Bacillus subtilis. IEEE/ACM Trans. Comp. Biol. and Bioinf, 2012.

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M. Salloum, K. Sargsyan, R. Jones, B. J. Debusschere, H. N. Najm, H. Adalsteinsson. A Stochastic Multiscale Coupling Scheme to Account for Sampling Noise in Atomistic-to-Continuum Simulations. Multiscale Modeling & Simulation, 2012.

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K. Sargsyan, C. Safta, B.J. Debusschere, H. Najm. Uncertainty Quantification given Discontinuous Model Response and a Limited Number of Model Runs. SIAM J. Scientific Computing, 2012.

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K. Sargsyan, C. Safta, R. Berry, J. Ray, B. Debusschere, H. Najm. Efficient uncertainty quantification methodologies for high-dimensional climate land models. 2011.

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M. Kalita, K. Sargsyan, B. Tian, A. Paulucci-Holthauzen, H. Najm, B. Debusschere, A. Brasier. Sources of cell-to-cell variability in canonical nuclear factor-κB (NF-κB) signaling pathway inferred from single cell dynamic images. Journal of Biological Chemistry, 2011.

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C. Safta, J. Ray, K. Sargsyan, S. Lefantzi, D. Crary, K. Cheng. Real-time characterization of partially observed epidemics using surrogate models. 2011.

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J. Frank, M. Lawson, K. Sargsyan, B. Debusschere, H. Najm. Uncertainty Quantification of Cinematic Imaging for Development of Predictive Simulations of Turbulent Combustion. 2010.

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K. Sargsyan, B. Debusschere, H. Najm, O. Le Maître. Spectral Representation and Reduced Order Modeling of the Dynamics of Stochastic Reaction Networks via Adaptive Data Partitioning. SIAM Journal on Scientific Computing, 2010.

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K. Sargsyan, C. Safta, B. Debusschere, H. Najm. Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities. ICDMW ‘09: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops, 2009.

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K. Sargsyan, B. Debusschere, H. Najm, Y. Marzouk. Bayesian Inference of Spectral Expansions for Predictability Assessment in Stochastic Reaction Networks. J. Comput. Theor. Nanosci., 2009.

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K. Sargsyan. Mean First Passage Times in the Near-Continuum Limit of Birth-Death Processes. University of Michigan, 2007.

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C. R. Doering, K. V. Sargsyan, L. M. Sander, E. Vanden-Eijnden. Asymptotics of rare events in birth death processes bypassing the exact solutions. Journal of Physics Condensed Matter, 2007.

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C. R. Doering, K. V. Sargsyan, L. M. Sander. Extinction times for birth-death processes: exact results, continuum asymptotics, and the failure of the Fokker-Planck approximation. Multiscale Modeling and Simulation, 2006.

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C. R. Doering, K. V. Sargsyan, P. Smereka. A numerical method for some stochastic differential equations with multiplicative noise. Physics Letters A, 2005.

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K. Sargsyan. Fluctuations in chemical reactions in a large volume. GFD Program Proceedings, 2005.

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