Nonlinear embeddings for conserving Hamiltonians and other quantities with Neural Galerkin schemes

P Schwerdtner, P Schulze, J Berman… - SIAM Journal on Scientific …, 2024 - SIAM
This work focuses on the conservation of quantities such as Hamiltonians, mass, and
momentum when solution fields of partial differential equations are approximated with …

Deep learning based reduced order modeling of Darcy flow systems with local mass conservation

WM Boon, NR Franco, A Fumagalli… - arxiv preprint arxiv …, 2023 - arxiv.org
We propose a new reduced order modeling strategy for tackling parametrized Partial
Differential Equations (PDEs) with linear constraints, in particular Darcy flow systems in …

[HTML][HTML] Neural network solvers for parametrized elasticity problems that conserve linear and angular momentum

WM Boon, NR Franco, A Fumagalli - Computer Methods in Applied …, 2025 - Elsevier
We consider a mixed formulation of parametrized elasticity problems in terms of stress,
displacement, and rotation. The latter two variables act as Lagrange multipliers to enforce …

A Mass-Conservative Reduced-Order Algorithm in Solving Optimal Control of Convection-Diffusion Equation

J Song, Q Wu, Y Shi - Journal of Scientific Computing, 2024 - Springer
This paper introduces a novel approach, the mass-conservative reduced-order characteristic
finite element (MCROCFE) method, designed for optimal control problem governed by …

[HTML][HTML] Projection-based reduced order modeling of an iterative scheme for linear thermo-poroelasticity

F Ballarin, S Lee, SY Yi - Results in Applied Mathematics, 2024 - Elsevier
This paper explores an iterative approach to solve linear thermo-poroelasticity problems,
with its application as a high-fidelity discretization utilizing finite elements during the training …

Projection-based reduced order modeling of an iterative coupling scheme for thermo-poroelasticity

F Ballarin, S Lee, SY Yi - arxiv preprint arxiv:2309.01004, 2023 - arxiv.org
This paper explores an iterative coupling approach to solve thermo-poroelasticity problems,
with its application as a high-fidelity discretization utilizing finite elements during the training …

A locally mass-conservative enriched Petrov-Galerkin method without penalty for the Darcy flow in porous media

H Chen, P Dong, S Sun, Z Wang - arxiv preprint arxiv:2402.08909, 2024 - arxiv.org
In this work we present an enriched Petrov-Galerkin (EPG) method for the simulation of the
Darcy flow in porous media. The new method enriches the approximation trial space of the …

Solvers for mixed finite element problems using Poincar\'e operators based on spanning trees

WM Boon - arxiv preprint arxiv:2410.08830, 2024 - arxiv.org
We propose an explicit construction of Poincar\'e operators for the lowest order finite
element spaces, by employing spanning trees in the grid. In turn, a stable decomposition of …

[PDF][PDF] Results in Applied Mathematics

F Ballarin, S Lee, SY Yi - publicatt.unicatt.it
This paper explores an iterative approach to solve linear thermo-poroelasticity problems,
with its application as a high-fidelity discretization utilizing finite elements during the training …