K
Khachik Sargsyan
Researcher at Sandia National Laboratories
Publications - 106
Citations - 2053
Khachik Sargsyan is an academic researcher from Sandia National Laboratories. The author has contributed to research in topics: Uncertainty quantification & Polynomial chaos. The author has an hindex of 20, co-authored 94 publications receiving 1647 citations. Previous affiliations of Khachik Sargsyan include University of Michigan & Oak Ridge National Laboratory.
Papers
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Efficient uncertainty quantification methodologies for high-dimensional climate land models.
TL;DR: This report applied Bayesian compressive sensing framework to a polynomial chaos spectral expansions, enhanced it with an iterative algorithm of basis reduction, and investigated the results on test models as well as on the community land model (CLM).
Journal ArticleDOI
Uncertainty quantification for incident helium flux in plasma-exposed tungsten
Ozgur Cekmer,Khachik Sargsyan,Sophie Blondel,Habib N. Najm,David E. Bernholdt,Brian D. Wirth +5 more
Posted Content
The network uncertainty quantification method for propagating uncertainties in component-based systems.
TL;DR: This work introduces the network uncertainty quantification (NetUQ) method, which is applicable to any network topology, promotes component independence by enabling components to employ tailored uncertainty-propagation operators, supports general functional representations of random variables, and requires no offline preprocessing stage.
Performance scaling variability and energy analysis for a resilient ULFM-based PDE solver
Karla Morris,Francesco Rizzi,B. Cook,Paul Mycek,Olivier LeMaitre,Omar M. Knio,Khachik Sargsyan,K. Dahlgren,Bert Debusschere +8 more
TL;DR: This work presents a resilient task-based domain-decomposition preconditioner for partial differential equations (PDEs) built on top of User Level Fault Mitigation Message Passing Interface (ULFM-MPI), and quantifies the variability of weak and strong scaling due to the presence of faults.