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Consistent and symmetry preserving data-driven interface reconstruction for the level-set method
by
Buhendwa, Aaron B.
,
Bezgin, Deniz A.
,
Adams, Nikolaus A.
Published in
Journal of computational physics
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Inferring incompressible two-phase flow fields from the interface motion using physics-informed neural networks
by
Buhendwa, Aaron B.
,
Adami, Stefan
,
Adams, Nikolaus A.
Published in
Machine learning with applications
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JAX-Fluids: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows
by
Bezgin, Deniz A.
,
Buhendwa, Aaron B.
,
Adams, Nikolaus A.
Published in
Computer physics communications
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JAX-Fluids 2.0: Towards HPC for differentiable CFD of compressible two-phase flows
by
Bezgin, Deniz A.
,
Buhendwa, Aaron B.
,
Adams, Nikolaus A.
Published in
Computer physics communications
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ML-ILES: End-to-end optimization of data-driven high-order Godunov-type finite-volume schemes for compressible homogeneous isotropic turbulence
by
Bezgin, Deniz A.
,
Buhendwa, Aaron B.
,
Schmidt, Steffen J.
,
Adams, Nikolaus A.
Published in
Journal of computational physics
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JAX-FLUIDS: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows
by
Bezgin, Deniz A
,
Buhendwa, Aaron B
,
Adams, Nikolaus A
Published in
arXiv.org
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Consistent and symmetry preserving data-driven interface reconstruction for the level-set method
by
Buhendwa, Aaron B
,
Bezgin, Deniz A
,
Adams, Nikolaus
Published in
arXiv.org
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JAX-Fluids 2.0: Towards HPC for Differentiable CFD of Compressible Two-phase Flows
by
Bezgin, Deniz A
,
Buhendwa, Aaron B
,
Adams, Nikolaus A
Published in
arXiv.org
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Shape inference in three-dimensional steady state supersonic flows using ODIL and JAX-Fluids
by
Buhendwa, Aaron B
,
Bezgin, Deniz A
,
Karnakov, Petr
,
Adams, Nikolaus A
,
Koumoutsakos, Petros
Published in
arXiv.org
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A fully-differentiable compressible high-order computational fluid dynamics solver
by
Bezgin, Deniz A
,
Buhendwa, Aaron B
,
Adams, Nikolaus A
Published in
arXiv.org
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Inferring incompressible two-phase flow fields from the interface motion using physics-informed neural networks
by
Buhendwa, Aaron B
,
Adami, Stefan
,
Adams, Nikolaus A
Published in
arXiv.org
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Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme
by
Shahane, Shantanu
,
Chammas, Sheide
,
Bezgin, Deniz A
,
Buhendwa, Aaron B
,
Schmidt, Steffen J
,
Adams, Nikolaus A
,
Bryngelson, Spencer H
,
Yi-Fan, Chen
,
Wang, Qing
,
Sha, Fei
,
Zepeda-Núñez, Leonardo
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arXiv.org
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