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Network-Oriented Modeling: Addressing Complexity of Cognitive, Affective and Social Interactions

Treur, Jan

1st ed. 2016., 2016

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Developing a Local Least-Squares Support Vector Machines-Based Neuro-Fuzzy Model for Nonlinear and Chaotic Time Series Prediction

IEEE transaction on neural networks and learning systems, 2013-02, Vol.24 (2), p.207-218

2013

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IEEE_Xplore

Atomic cluster expansion: Completeness, efficiency and stability

Journal of computational physics, 2022-04, Vol.454, p.110946, Article 110946

2022

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A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry

Journal of computational physics, 2015-04, Vol.286, p.103-117

2015

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High-order CFD methods: current status and perspective

International journal for numerical methods in fluids, 2013-07, Vol.72 (8), p.811-845

2013

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Adaptive sparse polynomial chaos expansion based on least angle regression

Journal of computational physics, 2011-03, Vol.230 (6), p.2345-2367

2011

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Defining Computational Thinking for Mathematics and Science Classrooms

Journal of science education and technology, 2016-02, Vol.25 (1), p.127-147

2016

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Vibration Prediction of Bladed Disks Coupled by Friction Joints

Archives of computational methods in engineering, 2017-07, Vol.24 (3), p.589-636

2017

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Model-based Geostatistics

1. Aufl., 2007

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An assessment of multicomponent flow models and interface capturing schemes for spherical bubble dynamics

Journal of computational physics, 2020-02, Vol.402, p.109080, Article 109080

2020

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Three-dimensional adaptive domain remeshing, implicit domain meshing, and applications to free and moving boundary problems

Journal of computational physics, 2014-04, Vol.262, p.358-378

2014

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Finite Element Model Updating Using Computational Intelligence Techniques: Applications to Structural Dynamics

Marwala, Tshilidzi

1, 2010

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Numerical solution of the Optimal Transportation problem using the Monge–Ampère equation

Journal of computational physics, 2014-03, Vol.260 (1), p.107-126

2014

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Uncertainty Quantification and Predictive Computational Science: A Foundation for Physical Scientists and Engineers

McClarren, Ryan G

1st ed. 2018., 2018

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A simple robust and accurate a posteriori sub-cell finite volume limiter for the discontinuous Galerkin method on unstructured meshes

Journal of computational physics, 2016-08, Vol.319, p.163-199

2016

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A modular numerical method for implicit 0D/3D coupling in cardiovascular finite element simulations

Journal of computational physics, 2013-07, Vol.244, p.63-79

2013

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Computational modeling of multiphase viscoelastic and elastoviscoplastic flows

International journal for numerical methods in fluids, 2018-12, Vol.88 (12), p.521-543

2018

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Learning about physical parameters: the importance of model discrepancy

Inverse problems, 2014-11, Vol.30 (11), p.114007-114030

2014

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Dissipativity and quasi-synchronization for neural networks with discontinuous activations and parameter mismatches

Neural networks, 2011-12, Vol.24 (10), p.1013-1021

2011

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SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems

Computers & operations research, 2013-05, Vol.40 (5), p.1383-1400

2013

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A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing

Computer methods in applied mechanics and engineering, 2011-06, Vol.200 (25), p.2131-2144

2011

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Direct simulation of pore-scale two-phase visco-capillary flow on large digital rock images using a phase-field lattice Boltzmann method on general-purpose graphics processing units

Computational geosciences, 2019-10, Vol.23 (5), p.849-880

2019

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Unified semi-analytical wall boundary conditions for inviscid, laminar or turbulent flows in the meshless SPH method

International journal for numerical methods in fluids, 2013-02, Vol.71 (4), p.446-472

2013

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Model identification of reduced order fluid dynamics systems using deep learning

International journal for numerical methods in fluids, 2018-02, Vol.86 (4), p.255-268

2018

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Computational methods for the dynamics of the nonlinear Schrödinger/Gross–Pitaevskii equations

Computer physics communications, 2013-12, Vol.184 (12), p.2621-2633

2013

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Network-Oriented Modeling: Addressing Complexity of Cognitive, Affective and Social Interactions

Developing a Local Least-Squares Support Vector Machines-Based Neuro-Fuzzy Model for Nonlinear and Chaotic Time Series Prediction

Atomic cluster expansion: Completeness, efficiency and stability

A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry

High-order CFD methods: current status and perspective

Adaptive sparse polynomial chaos expansion based on least angle regression

Defining Computational Thinking for Mathematics and Science Classrooms

Vibration Prediction of Bladed Disks Coupled by Friction Joints

Model-based Geostatistics

An assessment of multicomponent flow models and interface capturing schemes for spherical bubble dynamics

Three-dimensional adaptive domain remeshing, implicit domain meshing, and applications to free and moving boundary problems

Finite Element Model Updating Using Computational Intelligence Techniques: Applications to Structural Dynamics

Numerical solution of the Optimal Transportation problem using the Monge–Ampère equation

Uncertainty Quantification and Predictive Computational Science: A Foundation for Physical Scientists and Engineers

A simple robust and accurate a posteriori sub-cell finite volume limiter for the discontinuous Galerkin method on unstructured meshes

A modular numerical method for implicit 0D/3D coupling in cardiovascular finite element simulations

Computational modeling of multiphase viscoelastic and elastoviscoplastic flows

Learning about physical parameters: the importance of model discrepancy

Dissipativity and quasi-synchronization for neural networks with discontinuous activations and parameter mismatches

SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems

A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing

Direct simulation of pore-scale two-phase visco-capillary flow on large digital rock images using a phase-field lattice Boltzmann method on general-purpose graphics processing units

Unified semi-analytical wall boundary conditions for inviscid, laminar or turbulent flows in the meshless SPH method

Model identification of reduced order fluid dynamics systems using deep learning

Computational methods for the dynamics of the nonlinear Schrödinger/Gross–Pitaevskii equations

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