Nicholas Zabaras
Nicholas Zabaras
Professor, Cornell University
Verified email at nd.edu
Title
Cited by
Cited by
Year
An adaptive hierarchical sparse grid collocation algorithm for the solution of stochastic differential equations
X Ma, N Zabaras
Journal of Computational Physics 228 (8), 3084-3113, 2009
4982009
Sparse grid collocation schemes for stochastic natural convection problems
B Ganapathysubramanian, N Zabaras
Journal of Computational Physics 225 (1), 652-685, 2007
4662007
A unified framework for the construction of one-step finite volume and discontinuous Galerkin schemes on unstructured meshes
M Dumbser, DS Balsara, EF Toro, CD Munz
Journal of Computational Physics 227 (18), 8209-8253, 2008
4602008
An inverse method for determining elastic material properties and a material interface
DS Schnur, N Zabaras
International Journal for Numerical Methods in Engineering 33 (10), 2039-2057, 1992
2831992
A Bayesian inference approach to the inverse heat conduction problem
J Wang, N Zabaras
International Journal of Heat and Mass Transfer 47 (17-18), 3927-3941, 2004
2242004
An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations
X Ma, N Zabaras
Journal of Computational Physics 229 (10), 3884-3915, 2010
2112010
Hierarchical Bayesian models for inverse problems in heat conduction
J Wang, N Zabaras
Inverse Problems 21 (1), 183, 2004
1702004
Classification and reconstruction of three-dimensional microstructures using support vector machines
V Sundararaghavan, N Zabaras
Computational Materials Science 32 (2), 223-239, 2005
1532005
A current density conservative scheme for incompressible MHD flows at a low magnetic Reynolds number. Part II: On an arbitrary collocated mesh
MJ Ni, R Munipalli, P Huang, NB Morley, MA Abdou
Journal of Computational Physics 227 (1), 205-228, 2007
1502007
Using Bayesian statistics in the estimation of heat source in radiation
J Wang, N Zabaras
International Journal of Heat and Mass Transfer 48 (1), 15-29, 2005
1462005
Finite element solution of two‐dimensional inverse elastic problems using spatial smoothing
DS Schnur, N Zabaras
International Journal for Numerical Methods in Engineering 30 (1), 57-75, 1990
1421990
An efficient Bayesian inference approach to inverse problems based on an adaptive sparse grid collocation method
X Ma, N Zabaras
Inverse Problems 25 (3), 035013, 2009
1392009
A sensitivity analysis for the optimal design of metal-forming processes
S Badrinarayanan, N Zabaras
Computer Methods in Applied Mechanics and Engineering 129 (4), 319-348, 1996
1361996
Finite element analysis of some inverse elasticity problems
A Maniatty, N Zabaras, K Stelson
Journal of engineering mechanics 115 (6), 1303-1317, 1989
1341989
Modeling diffusion in random heterogeneous media: Data-driven models, stochastic collocation and the variational multiscale method
B Ganapathysubramanian, N Zabaras
Journal of Computational Physics 226 (1), 326-353, 2007
1242007
A level set simulation of dendritic solidification with combined features of front-tracking and fixed-domain methods
L Tan, N Zabaras
Journal of Computational Physics 211 (1), 36-63, 2006
1242006
Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification
Y Zhu, N Zabaras
Journal of Computational Physics 366, 415-447, 2018
1232018
Finite element analysis of progressive failure in laminated composite plates
S Tolson, N Zabaras
Computers & Structures 38 (3), 361-376, 1991
1171991
Kernel principal component analysis for stochastic input model generation
X Ma, N Zabaras
Journal of Computational Physics 230 (19), 7311-7331, 2011
1052011
A non-intrusive stochastic Galerkin approach for modeling uncertainty propagation in deformation processes
S Acharjee, N Zabaras
Computers & structures 85 (5-6), 244-254, 2007
1052007
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Articles 1–20