69 citations · 71 across the 2 of their papers we have counts for
3 papers
cs.LG2025
INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers
Hao Wei, Aleksandra Franz, Bjoern List +1
When simulating partial differential equations, hybrid solvers combine coarse numerical solvers with learned correctors. They promise accelerated simulations while adhering to phys…
physics.comp-ph2024★ 2 cited
Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics
Bjoern List, Li-Wei Chen, Kartik Bali +1
Unrolling training trajectories over time strongly influences the inference accuracy of neural network-augmented physics simulators. We analyze this in three variants of training n…
physics.flu-dyn2022★ 69 cited
Learned Turbulence Modelling with Differentiable Fluid Solvers: Physics-based Loss-functions and Optimisation Horizons
Björn List, Li-Wei Chen, Nils Thuerey
In this paper, we train turbulence models based on convolutional neural networks. These learned turbulence models improve under-resolved low resolution solutions to the incompressi…