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Uncertainty quantification for basin-scale geothermal conduction models

Scientific reports, 2022-03, Vol.12 (1), p.4246-4246, Article 4246

2022

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Simulation study of the cooling effect of blood vessels and blood coagulation in hepatic radio-frequency ablation

International journal of hyperthermia, 2021-01, Vol.38 (1), p.95-104

2021

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Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method

Computer methods in applied mechanics and engineering, 2021-10, Vol.384, p.113924, Article 113924

2021

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A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models

Journal of computational physics, 2024-02, Vol.498, p.112599, Article 112599

2024

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A reduced order model for geometrically parameterized two-scale simulations of elasto-plastic microstructures under large deformations

Computer methods in applied mechanics and engineering, 2024-01, Vol.418, p.116467, Article 116467

2024

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On the stability of the reduced basis method for Stokes equations in parametrized domains

Computer methods in applied mechanics and engineering, 2007-01, Vol.196 (7), p.1244-1260

2007

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Certified reduced basis method in geosciences: Addressing the challenge of high-dimensional problems

Computational geosciences, 2020-02, Vol.24 (1), p.241-259

2020

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Tuning the Pennes Perfusion Rate to Model Large Vessel Cooling Effects in Hepatic Radiofrequency Ablation

Journal of biomechanical engineering, 2022-08, Vol.144 (8)

2022

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Special Issue on Credible High‐Fidelity and Low‐Cost Simulations in Computational Engineering

International journal for numerical methods in engineering, 2020-12, Vol.121 (23), p.5151-5152

2020

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A Certified Trust Region Reduced Basis Approach to PDE-Constrained Optimization

SIAM journal on scientific computing, 2017-01, Vol.39 (5), p.S434-S460

2017

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Study of flow effects on temperature‐controlled radiofrequency ablation using phantom experiments and forward simulations

Medical physics (Lancaster), 2021-09, Vol.48 (9), p.4754-4768

2021

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Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method: Extension to geometrical parameterizations

Computer methods in applied mechanics and engineering, 2022-11, Vol.401, p.115636, Article 115636

2022

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Certified reduced basis method in geosciences

Computational geosciences, 2020-02, Vol.24 (1), p.241-259

2020

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Certified Reduced Basis Methods for Parametrized Elliptic Optimal Control Problems with Distributed Controls

Journal of scientific computing, 2018-04, Vol.75 (1), p.276-307

2018

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Global sensitivity study for irreversible electroporation: Towards treatment planning under uncertainty

Medical physics (Lancaster), 2023-03, Vol.50 (3), p.1290-1304

2023

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Crustal-scale thermal models: revisiting the influence of deep boundary conditions

Environmental earth sciences, 2022-02, Vol.81 (3), Article 88

2022

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Choosing Observation Operators to Mitigate Model Error in Bayesian Inverse Problems

SIAM/ASA journal on uncertainty quantification, 2024-09, Vol.12 (3), p.723-758

2024

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Multiscale modeling of linear elastic heterogeneous structures via localized model order reduction

International journal for numerical methods in engineering, 2023-10, Vol.124 (20), p.4580-4602

2023

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Certified Reduced Basis Methods for Parametrized Saddle Point Problems

SIAM journal on scientific computing, 2012-01, Vol.34 (5), p.A2812-A2836

2012

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Surrogate modeling in irreversible electroporation towards real-time treatment planning

Applied mathematical modelling, 2024-02, Vol.126, p.52-66

2024

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Global sensitivity analysis to optimize basin-scale conductive model calibration – A case study from the Upper Rhine Graben

Geothermics, 2021-09, Vol.95, p.102143, Article 102143

2021

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Sensor selection for hyper‐parameterized linear Bayesian inverse problems

Proceedings in applied mathematics and mechanics, 2021-03, Vol.20 (S1), p.n/a

2021

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A slack approach to reduced-basis approximation and error estimation for variational inequalities

Comptes rendus. Mathématique, 2016-03, Vol.354 (3), p.283-289

2016

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Reduced basis approximation and a posteriori error bounds for 4D-Var data assimilation

Optimization and engineering, 2018-09, Vol.19 (3), p.663-695

2018

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Certified Reduced Basis Methods for Parametrized Distributed Elliptic Optimal Control Problems with Control Constraints

SIAM journal on scientific computing, 2016-01, Vol.38 (6), p.A3921-A3946

2016

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Uncertainty quantification for basin-scale geothermal conduction models

Simulation study of the cooling effect of blood vessels and blood coagulation in hepatic radio-frequency ablation

Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method

A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models

A reduced order model for geometrically parameterized two-scale simulations of elasto-plastic microstructures under large deformations

On the stability of the reduced basis method for Stokes equations in parametrized domains

Certified reduced basis method in geosciences: Addressing the challenge of high-dimensional problems

Tuning the Pennes Perfusion Rate to Model Large Vessel Cooling Effects in Hepatic Radiofrequency Ablation

Special Issue on Credible High‐Fidelity and Low‐Cost Simulations in Computational Engineering

A Certified Trust Region Reduced Basis Approach to PDE-Constrained Optimization

Study of flow effects on temperature‐controlled radiofrequency ablation using phantom experiments and forward simulations

Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method: Extension to geometrical parameterizations

Certified reduced basis method in geosciences

Certified Reduced Basis Methods for Parametrized Elliptic Optimal Control Problems with Distributed Controls

Global sensitivity study for irreversible electroporation: Towards treatment planning under uncertainty

Crustal-scale thermal models: revisiting the influence of deep boundary conditions

Choosing Observation Operators to Mitigate Model Error in Bayesian Inverse Problems

Multiscale modeling of linear elastic heterogeneous structures via localized model order reduction

Certified Reduced Basis Methods for Parametrized Saddle Point Problems

Surrogate modeling in irreversible electroporation towards real-time treatment planning

Global sensitivity analysis to optimize basin-scale conductive model calibration – A case study from the Upper Rhine Graben

Sensor selection for hyper‐parameterized linear Bayesian inverse problems

A slack approach to reduced-basis approximation and error estimation for variational inequalities

Reduced basis approximation and a posteriori error bounds for 4D-Var data assimilation

Certified Reduced Basis Methods for Parametrized Distributed Elliptic Optimal Control Problems with Control Constraints

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