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pro vyhledávání: '"Bali, Kartik"'
Unrolling training trajectories over time strongly influences the inference accuracy of neural network-augmented physics simulators. We analyze this in three variants of training neural time-steppers. In addition to one-step setups and fully differen
Externí odkaz:
http://arxiv.org/abs/2402.12971
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 January 2025 433 Part A
Autor:
Bali, Kartik, Supradeepan, K
This paper proposes an Arbitrary Lagrangian-Eulerian incompressible finite volume scheme based on Consistent Flux Reconstruction method (ALE-CFR) on deforming two-dimensional unstructured triangular grids. The scheme is further applied to solve for a
Externí odkaz:
http://arxiv.org/abs/1911.03415
Publikováno v:
Grenze International Journal of Engineering & Technology (GIJET); Jan Part 3, Vol. 10, p2629-2633, 5p