Structure Preserving Model Order Reduction of Shallow Water Equations. - Bülent Karasözen; Süleyman Yildiz; Murat Uzunca (CoRR, 2019)

Structure-preserving Reduced Order Modeling of non-traditional Shallow Water Equation. - Süleyman Yildiz; Murat Uzunca; Bülent Karasözen (CoRR, 2020)

Structure-preserving reduced-order modelling of Korteweg de Vries equation. - Bülent Karasözen; Murat Uzunca; Süleyman Yildiz (CoRR, 2020)

Data-Driven Learning of Reduced-order Dynamics for a Parametrized Shallow Water Equation. - Süleyman Yildiz; Pawan Goyal 003; Peter Benner; Bülent Karasözen (CoRR, 2020)

Structure-preserving reduced order modelling of thermal shallow water equation. - Murat Uzunca; Süleyman Yildiz; Bülent Karasözen (CoRR, 2020)

Reduced order modelling of nonlinear cross-diffusion systems. - Bülent Karasözen; Gülden Mülayim; Murat Uzunca; Süleyman Yildiz (Appl. Math. Comput., 2021)

Intrusive and non-intrusive reduced order modeling of the rotating thermal shallow water equation. - Süleyman Yildiz; Murat Uzunca; Bülent Karasözen (CoRR, 2021)

Structure-preserving reduced-order modeling of Korteweg-de Vries equation. - Murat Uzunca; Bülent Karasözen; Süleyman Yildiz (Math. Comput. Simul., 2021)

Intrusive and data-driven reduced order modelling of the rotating thermal shallow water equation. - Bülent Karasözen; Süleyman Yildiz; Murat Uzunca (Appl. Math. Comput., 2022)

Data-Driven Identification of Quadratic Symplectic Representations of Nonlinear Hamiltonian Systems. - Süleyman Yildiz; Pawan Goyal 003; Thomas Bendokat; Peter Benner (CoRR, 2023)

Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems. - Süleyman Yildiz; Pawan Goyal 003; Peter Benner (CoRR, 2023)

Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics. - Pawan Goyal 003; Süleyman Yildiz; Peter Benner (Zenodo, 2024)

Structure-preserving learning for multi-symplectic PDEs. - Süleyman Yildiz; Pawan Goyal 003; Peter Benner (Zenodo, 2024)

Deep learning for structure-preserving universal stable Koopman-inspired embeddings for nonlinear canonical Hamiltonian dynamics. - Pawan Goyal 003; Süleyman Yildiz; Peter Benner (Mach. Learn. Sci. Technol., 2025)

A CFL-type Condition and Theoretical Insights for Discrete-Time Sparse Full-Order Model Inference. - Leonidas Gkimisis; Süleyman Yildiz; Peter Benner; Thomas Richter 003 (CoRR, 2025)

Structure-preserving learning for multi-symplectic PDEs. - Süleyman Yildiz; Pawan Goyal 003; Peter Benner (Adv. Model. Simul. Eng. Sci., 2025)