Stefan Adami

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 16

Top Topics

Multiresolution

Top Venues

J. Comput. Phys.

J. Comput. Phys. X

Publications

Wenbin Zhang, Nico Fleischmann, Stefan Adami, Nikolaus A. Adams
A hybrid WENO5IS-THINC reconstruction scheme for compressible multiphase flows. J. Comput. Phys. 498 (2024)
Thomas Paula, Stefan Adami, Nikolaus A. Adams
A robust high-resolution discrete-equations method for compressible multi-phase flow with accurate interface capturing. J. Comput. Phys. 491 (2023)
Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams
E(3) Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics. CoRR (2023)
Artur P. Toshev, Gianluca Galletti, Fabian Fritz, Stefan Adami, Nikolaus A. Adams
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite. CoRR (2023)
Artur P. Toshev, Gianluca Galletti, Fabian Fritz, Stefan Adami, Nikolaus A. Adams
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite. NeurIPS (2023)
Christopher Zöller, Nikolaus A. Adams, Stefan Adami
A partitioned continuous surface stress model for multiphase smoothed particle hydrodynamics. J. Comput. Phys. 472 (2023)
Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams
Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networks. CoRR (2023)
Vladimir Bogdanov, Felix S. Schranner, Josef M. Winter, Stefan Adami, Nikolaus A. Adams
A level-set-based sharp-interface method for moving contact lines. J. Comput. Phys. 467 (2022)
Nils Hoppe, Josef M. Winter, Stefan Adami, Nikolaus A. Adams
ALPACA - a level-set based sharp-interface multiresolution solver for conservation laws. Comput. Phys. Commun. 272 (2022)
Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams
Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networks. GSI (2) (2021)
Aaron B. Buhendwa, Stefan Adami, Nikolaus A. Adams
Inferring incompressible two-phase flow fields from the interface motion using physics-informed neural networks. CoRR (2021)
Nico Fleischmann, Stefan Adami, Nikolaus A. Adams
A shock-stable modification of the HLLC Riemann solver with reduced numerical dissipation. J. Comput. Phys. 423 (2020)
Nico Fleischmann, Stefan Adami, Xiangyu Y. Hu, Nikolaus A. Adams
A low dissipation method to cure the grid-aligned shock instability. J. Comput. Phys. 401 (2020)
Nico Fleischmann, Stefan Adami, Nikolaus A. Adams
On an inconsistency of the arithmetic-average signal speed estimate for HLL-type Riemann solvers. J. Comput. Phys. X 8 (2020)
Nils Hoppe, Stefan Adami, Nikolaus A. Adams, Igor Pasichnyk, Momme Allalen
Node-Level optimization of a 3D Block-Based Multiresolution Compressible Flow Solver with Emphasis on Performance Portability. HPCS (2019)
Jakob W. J. Kaiser, Nils Hoppe, Stefan Adami, Nikolaus A. Adams
An adaptive local time-stepping scheme for multiresolution simulations of hyperbolic conservation laws. J. Comput. Phys. X 4 (2019)
Stefan Adami, Xiangyu Hu, Nikolaus A. Adams
A transport-velocity formulation for smoothed particle hydrodynamics. J. Comput. Phys. 241 (2013)
Stefan Adami, Xiangyu Hu, Nikolaus A. Adams
A generalized wall boundary condition for smoothed particle hydrodynamics. J. Comput. Phys. 231 (21) (2012)
Stefan Adami, Xiangyu Hu, Nikolaus A. Adams
A conservative SPH method for surfactant dynamics. J. Comput. Phys. 229 (5) (2010)
Stefan Adami, Xiangyu Hu, Nikolaus A. Adams
A new surface-tension formulation for multi-phase SPH using a reproducing divergence approximation. J. Comput. Phys. 229 (13) (2010)