GLENN: Neural network-enhanced computation of Ginzburg-Landau energy minimizers
Fuente:
arXiv
Saved in:
| Main Authors: | Crocoll, Michael, Döding, Christian, Dörich, Benjamin, Maier, Roland |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A multiscale approach to the stationary Ginzburg-Landau equations of superconductivity
by: Döding, Christian, et al.
Published: (2024)
by: Döding, Christian, et al.
Published: (2024)
On second-order optimality in the high-$κ$ regime of the Ginzburg-Landau model
by: Döding, Christian
Published: (2026)
by: Döding, Christian
Published: (2026)
The Ginzburg-Landau equations: Vortex states and numerical multiscale approximations
by: Döding, Christian, et al.
Published: (2025)
by: Döding, Christian, et al.
Published: (2025)
Error bounds for discrete minimizers of the Ginzburg-Landau energy in the high-$κ$ regime
by: Dörich, Benjamin, et al.
Published: (2023)
by: Dörich, Benjamin, et al.
Published: (2023)
Complexity bounds on neural networks for the solution of structured linear systems of equations
by: Dörich, Benjamin, et al.
Published: (2026)
by: Dörich, Benjamin, et al.
Published: (2026)
Vortex-capturing multiscale spaces for the Ginzburg-Landau equation
by: Blum, Maria, et al.
Published: (2024)
by: Blum, Maria, et al.
Published: (2024)
Localized Orthogonal Decomposition Methods vs. Classical FEM for the Gross-Pitaevskii Equation
by: Döding, Christian
Published: (2024)
by: Döding, Christian
Published: (2024)
Simulation of the magnetic Ginzburg-Landau equation via vortex tracking
by: Corso, Thiago Carvalho, et al.
Published: (2025)
by: Corso, Thiago Carvalho, et al.
Published: (2025)
Implicit Integration of the Time-Dependent Ginzburg-Landau Equations of Superconductivity
by: Gunter, D. O., et al.
Published: (1999)
by: Gunter, D. O., et al.
Published: (1999)
Gautschi-type and implicit-explicit integrators for constrained wave equations
by: Altmann, R., et al.
Published: (2025)
by: Altmann, R., et al.
Published: (2025)
Finite-dimensional approximations of random attractor for stochastic discrete complex Ginzburg-Landau equations
by: Fang, Xinjie, et al.
Published: (2026)
by: Fang, Xinjie, et al.
Published: (2026)
Mathematical analysis and numerical simulation of coupled nonlinear space-fractional Ginzburg-Landau equations
by: Ding, Hengfei, et al.
Published: (2025)
by: Ding, Hengfei, et al.
Published: (2025)
Neural numerical homogenization based on Deep Ritz corrections
by: Elasmi, Mehdi, et al.
Published: (2024)
by: Elasmi, Mehdi, et al.
Published: (2024)
A Structure-Preserving Scheme for the Time-Dependent Ginzburg-Landau Model with BCS Gap Coupling
by: Wang, Boyi, et al.
Published: (2026)
by: Wang, Boyi, et al.
Published: (2026)
Matrix- and tensor-oriented numerical schemes for the evolutionary space-fractional complex Ginzburg--Landau equation
by: Caliari, Marco, et al.
Published: (2025)
by: Caliari, Marco, et al.
Published: (2025)
Efficient simulation of complex Ginzburg--Landau equations using high-order exponential-type methods
by: Caliari, Marco, et al.
Published: (2024)
by: Caliari, Marco, et al.
Published: (2024)
Stability estimates for Interior Penalty D.G. Methods for the Nonlinear Dynamics of the complex Ginzburg Landau equation
by: Kostas, Dimitrios
Published: (2025)
by: Kostas, Dimitrios
Published: (2025)
Weighted implicit-explicit discontinuous Galerkin methods for two-dimensional Ginzburg-Landau equations on general meshes
by: Guan, Zhen, et al.
Published: (2025)
by: Guan, Zhen, et al.
Published: (2025)
A low-rank Lie-Trotter splitting approach for nonlinear fractional complex Ginzburg-Landau equations
by: Zhao, Yong-Liang, et al.
Published: (2020)
by: Zhao, Yong-Liang, et al.
Published: (2020)
A semi-implicit DLN Galerkin finite element method for coupled Ginzburg-Landau equations with general nonlinearity
by: Guan, Zhen, et al.
Published: (2026)
by: Guan, Zhen, et al.
Published: (2026)
A new analytical technique of the fully implicit Crank-Nicolson discontinuous Galerkin method for the Ginzburg-Landau Model
by: Cao, Xianxian, et al.
Published: (2025)
by: Cao, Xianxian, et al.
Published: (2025)
Momentum-based minimization of the Ginzburg-Landau functional on Euclidean spaces and graphs
by: Akande, Oluwatosin, et al.
Published: (2024)
by: Akande, Oluwatosin, et al.
Published: (2024)
Algebraic rates of stability for front-type modulated waves in Ginzburg Landau equations
by: Beyn, Wolf-Jürgen, et al.
Published: (2024)
by: Beyn, Wolf-Jürgen, et al.
Published: (2024)
Localized implicit time stepping for the wave equation
by: Gallistl, Dietmar, et al.
Published: (2023)
by: Gallistl, Dietmar, et al.
Published: (2023)
Influence of gauges in the numerical simulation of the time-dependent Ginzburg-Landau model
by: Tain, Cyril, et al.
Published: (2024)
by: Tain, Cyril, et al.
Published: (2024)
Robust fully discrete error bounds for the Kuznetsov equation in the inviscid limit
by: Dörich, Benjamin, et al.
Published: (2024)
by: Dörich, Benjamin, et al.
Published: (2024)
Efficient numerical methods for computing stationary states of spherical Landau-Brazovskii model
by: Qiu, Qun, et al.
Published: (2025)
by: Qiu, Qun, et al.
Published: (2025)
Finite element discretization of nonlinear models of ultrasound heating
by: Careaga, Julio, et al.
Published: (2025)
by: Careaga, Julio, et al.
Published: (2025)
On the solution of the modified Ginzburg-Landau type equation for one-dimensional superconductor in presence of a normal layer
by: Genchev, Z. D., et al.
Published: (2000)
by: Genchev, Z. D., et al.
Published: (2000)
Goal-oriented adaptive finite element methods with optimal computational complexity
by: Becker, Roland, et al.
Published: (2021)
by: Becker, Roland, et al.
Published: (2021)
Enriched higher-order multiscale approaches with applications to wave propagation
by: Kalyanaraman, Balaje, et al.
Published: (2026)
by: Kalyanaraman, Balaje, et al.
Published: (2026)
The frozen-field approximation and the Ginzburg-Landau equations of superconductivity
by: Kaper, H. G., et al.
Published: (2000)
by: Kaper, H. G., et al.
Published: (2000)
Numerical analysis of a constrained strain energy minimization problem
by: Aleman, Tilman, et al.
Published: (2024)
by: Aleman, Tilman, et al.
Published: (2024)
Fully guaranteed and computable error bounds on the energy for periodic Kohn-Sham equations with convex density functionals
by: Bordignon, Andrea, et al.
Published: (2024)
by: Bordignon, Andrea, et al.
Published: (2024)
On a class of higher-order length preserving and energy decreasing IMEX schemes for the Landau-Lifshitz equation
by: Li, Xiaoli, et al.
Published: (2024)
by: Li, Xiaoli, et al.
Published: (2024)
Spatially-varying meshless approximation method for enhanced computational efficiency
by: Jančič, Mitja, et al.
Published: (2023)
by: Jančič, Mitja, et al.
Published: (2023)
A two level approach for simulating Bose-Einstein condensates by localized orthogonal decomposition
by: Döding, Christian, et al.
Published: (2022)
by: Döding, Christian, et al.
Published: (2022)
Adaptive mesh refinement for the Landau-Lifshitz-Gilbert equation
by: Bohn, Jan, et al.
Published: (2023)
by: Bohn, Jan, et al.
Published: (2023)
A hybrid minimizing movement and neural network approach to Willmore flow
by: Rumpf, Martin, et al.
Published: (2025)
by: Rumpf, Martin, et al.
Published: (2025)
A Reduced Basis Method for the Stochastic Landau-Lifshitz-Gilbert Equation
by: Scaglioni, Andrea, et al.
Published: (2025)
by: Scaglioni, Andrea, et al.
Published: (2025)
Similar Items
-
A multiscale approach to the stationary Ginzburg-Landau equations of superconductivity
by: Döding, Christian, et al.
Published: (2024) -
On second-order optimality in the high-$κ$ regime of the Ginzburg-Landau model
by: Döding, Christian
Published: (2026) -
The Ginzburg-Landau equations: Vortex states and numerical multiscale approximations
by: Döding, Christian, et al.
Published: (2025) -
Error bounds for discrete minimizers of the Ginzburg-Landau energy in the high-$κ$ regime
by: Dörich, Benjamin, et al.
Published: (2023) -
Complexity bounds on neural networks for the solution of structured linear systems of equations
by: Dörich, Benjamin, et al.
Published: (2026)