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Ali Karakuş
E-mail
akarakus@metu.edu.tr
Department
Department of Mechanical Engineering
ORCID
0000-0002-9659-6712
Scopus Author ID
35590064700
Web of Science Researcher ID
H-6226-2018
Publications
Theses Advised
Open Courses
Projects
High-order discontinuous Galerkin methods with finite volume subcells for compressible flows on simplices
Karakuş, Ali; Unnikrishnan, Umesh; Patel, Saumil (2023-12-21)
This work presents GPU-accelerated nodal discontinuous Galerkin methods for supersonic and hypersonic flows with finite volume subcell stabilization on simplices. Our approach merges the favorable attributes of the discont...
Physics-Informed Neural Networks for Mesh Deformation with Exact Boundary Enforcement
Aygün, Atakan; Karakuş, Ali (2023-03-03)
In this work, we have applied physics-informed neural networks (PINN) for solving mesh deformation problems. We used the collocation PINN method to capture the new positions of the vertex nodes while preserving the connect...
A Local Discontinuous Galerkin Level Set Reinitialization with Subcell Stabilization on Tetrahedral Meshes
Karakuş, Ali (2023-03-03)
NekRS, a GPU-accelerated spectral element Navier–Stokes solver
Fischer, Paul; Kerkemeier, Stefan; Min, Misun; Lan, Yu-Hsiang; Phillips, Malachi; Rathnayake, Thilina; Merzari, Elia; Tomboulides, Ananias; Karakuş, Ali; Chalmers, Noel; Warburton, Tim (2022-12-01)
The Author(s)The development of NekRS, a GPU-oriented thermal-fluids simulation code based on the spectral element method (SEM) is described. For performance portability, the code is based on the open concurrent compute ab...
Performance benchmarking of a discontinuous Galerkin-based compressible flow solver on GPU computing platforms using cnsBench
Karakuş, Ali; Unnikrishnan, Umesh; Rowe, Kris; Patel, Saumil S (2022-11-22)
Heterogeneous computing architectures have become an integral feature of modern supercomputers. In this work, we present the performance benchmarking results of a discontinuous Galerkin, spectral-element solver for the com...
PHYSICS INFORMED NEURAL NETWORKS FOR TWO DIMENSIONAL INCOMPRESSIBLE THERMAL CONVECTION PROBLEMS
Aygün, Atakan; Karakuş, Ali (2022-10-01)
Physics-informed neural networks (PINNs) have drawn attention in recent years in engineering problems due to their effectiveness and ability to tackle problems without generating complex meshes. PINNs use automatic differe...
A local discontinuous Galerkin level set reinitialization with subcell stabilization on unstructured meshes[Formula presented]
Karakuş, Ali; Chalmers, N.; Warburton, T. (2022-10-01)
© 2022 Elsevier LtdIn this paper we consider a level set reinitialization technique based on a high-order, local discontinuous Galerkin method on unstructured triangular meshes. A finite volume based subcell stabilization ...
SIKIŞTIRILABİLİR EULER DENKLEMLERİNİN FİZİKLE ÖĞRENEN YAPAY SİNİR AĞLARI İLE ÇÖZÜMÜ
Karakuş, Ali; Aygün, Atakan (2022-09-16)
SÜREKSİZ GALERKİN SIKIŞTIRILABİLİR AKIŞLAR İÇİN GRAFİK İŞLEMCİ ÜNİTESİ HIZLANDIRILMIŞ ÇÖZÜCÜ
Karakuş, Ali; Yüksel, Sıla (2022-09-16)
A GPU ACCELERATED NODAL DISCONTINUOUS GALERKIN SOLVER FOR THE SOLUTION OF LATTICE-BOLTZMANN EQUATIONS ON UNSTRUCTURED MESHES
Karakuş, Ali (2022-05-27)
We present an efficient nodal discontinuous Galerkin method for approximating nearly incompressible flows using the Lattice-Boltzmann equations on unstructured triangular and quadrilateral meshes. The equations are discret...
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