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4D large scale variational data assimilation of a turbulent flow with a dynamics error model
4D large scale variational data assimilation of a turbulent flow with a dynamics error model
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4D large scale variational data assimilation of a turbulent flow with a dynamics error model

Chandramouli, Pranav ; Memin, Etienne ; Heitz, Dominique

Journal of computational physics, 2020-07, Vol.412, p.109446, Article 109446 [Periódico revisado por pares]

Cambridge: Elsevier Inc

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A new interface capturing method for Allen-Cahn type equations based on a flow dynamic approach in Lagrangian coordinates, I. One-dimensional case☆☆The work of Q.C. and C. Liu was partially supported by NSF grant DMS-1714401, and the work of J.S. was partially supported by NSF Grant DMS-1720442 and AFOSR Grant FA9550-16-1-0102
A new interface capturing method for Allen-Cahn type equations based on a flow dynamic approach in Lagrangian coordinates, I. One-dimensional case☆☆The work of Q.C. and C. Liu was partially supported by NSF grant DMS-1714401, and the work of J.S. was partially supported by NSF Grant DMS-1720442 and AFOSR Grant FA9550-16-1-0102
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A new interface capturing method for Allen-Cahn type equations based on a flow dynamic approach in Lagrangian coordinates, I. One-dimensional case☆☆The work of Q.C. and C. Liu was partially supported by NSF grant DMS-1714401, and the work of J.S. was partially supported by NSF Grant DMS-1720442 and AFOSR Grant FA9550-16-1-0102

Cheng, Qing ; Liu, Chun ; Shen, Jie

Journal of computational physics, 2020-10, Vol.419, Article 109509 [Periódico revisado por pares]

Elsevier Inc

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A new interface capturing method for Allen-Cahn type equations based on a flow dynamic approach in Lagrangian coordinates, I. One-dimensional case
A new interface capturing method for Allen-Cahn type equations based on a flow dynamic approach in Lagrangian coordinates, I. One-dimensional case
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A new interface capturing method for Allen-Cahn type equations based on a flow dynamic approach in Lagrangian coordinates, I. One-dimensional case

Cheng, Qing ; Liu, Chun ; Shen, Jie

Journal of computational physics, 2020-10, Vol.419, p.109509, Article 109509 [Periódico revisado por pares]

Cambridge: Elsevier Science Ltd

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4
Large-eddy simulation, fuel rod vibration and grid-to-rod fretting in pressurized water reactors
Large-eddy simulation, fuel rod vibration and grid-to-rod fretting in pressurized water reactors
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Large-eddy simulation, fuel rod vibration and grid-to-rod fretting in pressurized water reactors

Christon, Mark A. ; Lu, Roger ; Bakosi, Jozsef ; Nadiga, Balasubramanya T. ; Karoutas, Zeses ; Berndt, Markus

Journal of computational physics, 2016-10, Vol.322, p.142-161 [Periódico revisado por pares]

United States: Elsevier Inc

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5
Two new upwind difference schemes for a coupled system of convection–diffusion equations arising from the steady MHD duct flow problems
Two new upwind difference schemes for a coupled system of convection–diffusion equations arising from the steady MHD duct flow problems
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Two new upwind difference schemes for a coupled system of convection–diffusion equations arising from the steady MHD duct flow problems

Hsieh, Po-Wen ; Yang, Suh-Yuh

Journal of computational physics, 2010-12, Vol.229 (24), p.9216-9234 [Periódico revisado por pares]

Kidlington: Elsevier Inc

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6
Acceleration techniques for reduced-order models based on proper orthogonal decomposition
Acceleration techniques for reduced-order models based on proper orthogonal decomposition
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Acceleration techniques for reduced-order models based on proper orthogonal decomposition

Cizmas, Paul G.A. ; Richardson, Brian R. ; Brenner, Thomas A. ; O’Brien, Thomas J. ; Breault, Ronald W.

Journal of computational physics, 2008-08, Vol.227 (16), p.7791-7812 [Periódico revisado por pares]

Amsterdam: Elsevier Inc

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7
Implicit mesh discontinuous Galerkin methods and interfacial gauge methods for high-order accurate interface dynamics, with applications to surface tension dynamics, rigid body fluid–structure interaction, and free surface flow: Part I
Implicit mesh discontinuous Galerkin methods and interfacial gauge methods for high-order accurate interface dynamics, with applications to surface tension dynamics, rigid body fluid–structure interaction, and free surface flow: Part I
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Implicit mesh discontinuous Galerkin methods and interfacial gauge methods for high-order accurate interface dynamics, with applications to surface tension dynamics, rigid body fluid–structure interaction, and free surface flow: Part I

Saye, Robert

Journal of computational physics, 2017-09, Vol.344 (C), p.647-682 [Periódico revisado por pares]

Cambridge: Elsevier Inc

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8
Computation of MHD equilibria by a quasi-inverse finite hybrid element approach
Computation of MHD equilibria by a quasi-inverse finite hybrid element approach
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Computation of MHD equilibria by a quasi-inverse finite hybrid element approach

Gruber, R ; Iacono, R ; Troyon, F

Journal of computational physics, 1987-11, Vol.73 (1), p.168-182 [Periódico revisado por pares]

Amsterdam: Elsevier Inc

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9
Implicit mesh discontinuous Galerkin methods and interfacial gauge methods for high-order accurate interface dynamics, with applications to surface tension dynamics, rigid body fluid–structure interaction, and free surface flow: Part II
Implicit mesh discontinuous Galerkin methods and interfacial gauge methods for high-order accurate interface dynamics, with applications to surface tension dynamics, rigid body fluid–structure interaction, and free surface flow: Part II
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Implicit mesh discontinuous Galerkin methods and interfacial gauge methods for high-order accurate interface dynamics, with applications to surface tension dynamics, rigid body fluid–structure interaction, and free surface flow: Part II

Saye, Robert

Journal of computational physics, 2017-09, Vol.344 (C), p.683-723 [Periódico revisado por pares]

Cambridge: Elsevier Inc

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10
NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations
NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations
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NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations

Jin, Xiaowei ; Cai, Shengze ; Li, Hui ; Karniadakis, George Em

Journal of computational physics, 2021-02, Vol.426 (C), p.109951, Article 109951 [Periódico revisado por pares]

Cambridge: Elsevier Inc

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