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08/04/2023
Learning the solution operator of two-dimensional incompressible Navier-Stokes equations using physics-aware convolutional neural networks
In recent years, the concept of introducing physics to machine learning ...
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07/06/2023
A computational framework for pharmaco-mechanical interactions in arterial walls using parallel monolithic domain decomposition methods
A computational framework is presented to numerically simulate the effec...
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06/08/2023
Multilevel domain decomposition-based architectures for physics-informed neural networks
Physics-informed neural networks (PINNs) are a popular and powerful appr...
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04/10/2023
An Experimental Study of Two-Level Schwarz Domain Decomposition Preconditioners on GPUs
The generalized Dryja–Smith–Widlund (GDSW) preconditioner is a two-level...
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03/12/2023
An extension of the approximate component mode synthesis method to the heterogeneous Helmholtz equation
An extension of the approximate component mode synthesis (ACMS) method t...
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11/10/2022
Finite basis physics-informed neural networks as a Schwarz domain decomposition method
Physics-informed neural networks (PINNs) [4, 10] are an approach for sol...
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07/12/2022
A fully algebraic and robust two-level Schwarz method based on optimal local approximation spaces
Two-level domain decomposition preconditioners lead to fast convergence ...
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07/05/2022
Efficient coarse correction for parallel time-stepping in plaque growth simulations
In order to make the numerical simulation of atherosclerotic plaque grow...
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03/12/2022
Towards parallel time-stepping for the numerical simulation of atherosclerotic plaque growth
The numerical simulation of atherosclerotic plaque growth is computation...
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06/17/2021
