Atakan Aygün

E-mail

atakana@metu.edu.tr

Department

Department of Mechanical Engineering

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...
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...
SIKIŞTIRILABİLİR EULER DENKLEMLERİNİN FİZİKLE ÖĞRENEN YAPAY SİNİR AĞLARI İLE ÇÖZÜMÜ Karakuş, Ali; Aygün, Atakan (2022-09-16)
Sıkıştırılabilir Euler Denklemlerinin Fizikle Öğrenen Yapay Sinir Ağları ile Çözümü Aygün, Atakan (2022-09-14)
Physics-informed neural networks for mesh deformation with exact boundary enforcement Aygün, Atakan; Maulik, Romit; Karakuş, Ali (2023-10-01) 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...

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