Nicholas Zabaras - Concepedia

Author

Nicholas Zabaras

Also Known As

N ZABARAS, N Zabaras, N. Zabaras, N.J. Dr. Zabaras, Nicholas J Zabaras, Nicholas J. Zabaras, Nicholas Zabaras, Zabaras, Nicholas

212

Publications

10.1K

Citations

H-Index

174

Concepts

All Affiliations

Cornell University University of Notre Dame University of Minnesota University of Warwick

About

Nicholas Zabaras is an author at Cornell University specializing in engineering, mechanical engineering, and numerical analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	49	128	9.1K
2	Natural Sciences	16	18	1.4K
3	Business	4	4	273
4	Management	2	2	21
5	Medicine	1	1	38

Nicholas Zabaras

138

Publications

9.8K

Citations

H-Index

Page 1

	Year	Citations
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data Yinhao Zhu, Nicholas Zabaras, Phaedon‐Stelios Koutsourelakis, Journal of Computational Physics EngineeringMachine LearningData SciencePhysicsUncertainty Quantification	2019	985
Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification Yinhao Zhu, Nicholas Zabaras Journal of Computational Physics Bayesian StatisticsEngineeringMachine LearningData ScienceSurrogate Modeling	2018	668
An adaptive hierarchical sparse grid collocation algorithm for the solution of stochastic differential equations Xiang Ma, Nicholas Zabaras Journal of Computational Physics Numerical AnalysisEngineeringStochastic OptimizationNatural SciencesStochastic Calculus	2009	447
Sparse grid collocation schemes for stochastic natural convection problems Baskar Ganapathysubramanian, Nicholas Zabaras Journal of Computational Physics Numerical AnalysisEngineeringNumerical SimulationGrid SystemNatural Convection	2007	404
Modeling the dynamics of PDE systems with physics-constrained deep auto-regressive networks Nicholas Geneva, Nicholas Zabaras Journal of Computational Physics Pde SystemsEngineeringPde-constrained OptimizationPhysicsPhysic Aware Machine Learning	2019	299
A Bayesian inference approach to the inverse heat conduction problem Jingbo Wang, Nicholas Zabaras International Journal of Heat and Mass Transfer Bayesian StatisticBayesian Inference ApproachEngineeringBayesian MethodsInverse Problems	2004	252
An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations Xiang Ma, Nicholas Zabaras Journal of Computational Physics Numerical AnalysisEngineeringNatural SciencesStochastic SystemStochastic Calculus	2010	206
An inverse method for determining elastic material properties and a material interface Deborah Schnur, Nicholas Zabaras International Journal for Numerical Methods in Engineering Numerical AnalysisEngineeringMechanical EngineeringStructural OptimizationComputational Mechanics	1992	205
Multi-output local Gaussian process regression: Applications to uncertainty quantification Ilias Bilionis, Nicholas Zabaras Journal of Computational Physics Uncertainty ModelingUncertainty QuantificationGaussian ProcessProcess ControlBusiness	2012	180
Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification Ilias Bilionis, Nicholas Zabaras, Bledar A. Konomi, Journal of Computational Physics Bayesian ParadigmUncertainty ModelingUncertainty QuantificationGaussian ProcessStatistical Inference	2013	173

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