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Visualization in Meteorology-A Survey of Techniques and Tools for Data Analysis Tasks

IEEE transactions on visualization and computer graphics, 2018-12, Vol.24 (12), p.3268-3296

2018

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Contour Boxplots: A Method for Characterizing Uncertainty in Feature Sets from Simulation Ensembles

IEEE transactions on visualization and computer graphics, 2013-12, Vol.19 (12), p.2713-2722

2013

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Stress-based topology optimization under uncertainty via simulation-based Gaussian process

Computer methods in applied mechanics and engineering, 2020-06, Vol.365, p.112992, Article 112992

2020

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Analysis and reduction of quadrature errors in the material point method (MPM)

International journal for numerical methods in engineering, 2008-11, Vol.76 (6), p.922-948

2008

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Inverse electrocardiographic source localization of ischemia: An optimization framework and finite element solution

Journal of computational physics, 2013-10, Vol.250, p.403-424

2013

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Computer Science Abstractions to Help Reason About Decentralized Stablecoin Design

IEEE access, 2023, Vol.11, p.103201-103213

2023

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Architecting the finite element method pipeline for the GPU

Journal of computational and applied mathematics, 2014-02, Vol.257 (C), p.195-211

2014

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On the Lamb vector divergence in Navier–Stokes flows

Journal of fluid mechanics, 2008-09, Vol.610, p.261-284

2008

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RBF-LOI: Augmenting Radial Basis Functions (RBFs) with Least Orthogonal Interpolation (LOI) for solving PDEs on surfaces

Journal of computational physics, 2018-11, Vol.373, p.722-735

2018

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Multifidelity modeling for Physics-Informed Neural Networks (PINNs)

Journal of computational physics, 2022-02, Vol.451, p.110844, Article 110844

2022

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Parametric topology optimization with multiresolution finite element models

International journal for numerical methods in engineering, 2019-08, Vol.119 (7), p.567-589

2019

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Filtering in Legendre spectral methods

Mathematics of computation, 2008-09, Vol.77 (263), p.1425-1452

2008

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Curve Boxplot: Generalization of Boxplot for Ensembles of Curves

IEEE transactions on visualization and computer graphics, 2014-12, Vol.20 (12), p.2654-2663

2014

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Variational inference for nonlinear inverse problems via neural net kernels: Comparison to Bayesian neural networks, application to topology optimization

Computer methods in applied mechanics and engineering, 2022-10, Vol.400, p.115495, Article 115495

2022

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Unconditionally stable discretizations of the immersed boundary equations

Journal of computational physics, 2007-03, Vol.222 (2), p.702-719

2007

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Fast predictive multi-fidelity prediction with models of quantized fidelity levels

Journal of computational physics, 2019-01, Vol.376, p.992-1008

2019

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Image-Based Multiresolution Topology Optimization Using Deep Disjunctive Normal Shape Model

Computer aided design, 2021-01, Vol.130, p.102947, Article 102947

2021

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Generation of nested quadrature rules for generic weight functions via numerical optimization: Application to sparse grids

Journal of computational physics, 2020-01, Vol.400, p.108979, Article 108979

2020

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Deep coregionalization for the emulation of simulation-based spatial-temporal fields

Journal of computational physics, 2021-03, Vol.428, p.109984, Article 109984

2021

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A Radial Basis Function (RBF)-Finite Difference (FD) Method for Diffusion and Reaction–Diffusion Equations on Surfaces

Journal of scientific computing, 2015-06, Vol.63 (3), p.745-768

2015

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Stochastic collocation approach with adaptive mesh refinement for parametric uncertainty analysis

Journal of computational physics, 2018-10, Vol.371, p.732-750

2018

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How Short Is Too Short for the Interactions of a Water Potential? Exploring the Parameter Space of a Coarse-Grained Water Model Using Uncertainty Quantification

The journal of physical chemistry. B, 2014-07, Vol.118 (28), p.8190-8202

2014

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To CG or to HDG: A Comparative Study

Journal of scientific computing, 2012-04, Vol.51 (1), p.183-212

2012

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Robust topology optimization with low rank approximation using artificial neural networks

Computational mechanics, 2021-12, Vol.68 (6), p.1297-1323

2021

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Mixed aleatory and epistemic uncertainty quantification using fuzzy set theory

International journal of approximate reasoning, 2015-11, Vol.66, p.1-15

2015

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Visualization in Meteorology-A Survey of Techniques and Tools for Data Analysis Tasks

Contour Boxplots: A Method for Characterizing Uncertainty in Feature Sets from Simulation Ensembles

Stress-based topology optimization under uncertainty via simulation-based Gaussian process

Analysis and reduction of quadrature errors in the material point method (MPM)

Inverse electrocardiographic source localization of ischemia: An optimization framework and finite element solution

Computer Science Abstractions to Help Reason About Decentralized Stablecoin Design

Architecting the finite element method pipeline for the GPU

On the Lamb vector divergence in Navier–Stokes flows

RBF-LOI: Augmenting Radial Basis Functions (RBFs) with Least Orthogonal Interpolation (LOI) for solving PDEs on surfaces

Multifidelity modeling for Physics-Informed Neural Networks (PINNs)

Parametric topology optimization with multiresolution finite element models

Filtering in Legendre spectral methods

Curve Boxplot: Generalization of Boxplot for Ensembles of Curves

Variational inference for nonlinear inverse problems via neural net kernels: Comparison to Bayesian neural networks, application to topology optimization

Unconditionally stable discretizations of the immersed boundary equations

Fast predictive multi-fidelity prediction with models of quantized fidelity levels

Image-Based Multiresolution Topology Optimization Using Deep Disjunctive Normal Shape Model

Generation of nested quadrature rules for generic weight functions via numerical optimization: Application to sparse grids

Deep coregionalization for the emulation of simulation-based spatial-temporal fields

A Radial Basis Function (RBF)-Finite Difference (FD) Method for Diffusion and Reaction–Diffusion Equations on Surfaces

Stochastic collocation approach with adaptive mesh refinement for parametric uncertainty analysis

How Short Is Too Short for the Interactions of a Water Potential? Exploring the Parameter Space of a Coarse-Grained Water Model Using Uncertainty Quantification

To CG or to HDG: A Comparative Study

Robust topology optimization with low rank approximation using artificial neural networks

Mixed aleatory and epistemic uncertainty quantification using fuzzy set theory

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