Merten Stender

According to our database, Merten Stender authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Data assimilation and parameter identification for water waves using the nonlinear Schrödinger equation and physics-informed neural networks.

Svenja Ehlers, Niklas A. Wagner, Annamaria Scherzl, Marco Klein, Norbert P. Hoffmann, Merten Stender

CoRR, 2024

2023

Data-driven reduced order modeling for mechanical oscillators using Koopman approaches.

Charlotte Geier, Merten Stender, Norbert P. Hoffmann

Frontiers Appl. Math. Stat., 2023

Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data.

Svenja Ehlers, Marco Klein, Alexander Heinlein, Mathies Wedler, Nicolas Desmars, Norbert P. Hoffmann, Merten Stender

CoRR, 2023

2022

Surface similarity parameter: A new machine learning loss metric for oscillatory spatio-temporal data.

Mathies Wedler, Merten Stender, Marco Klein, Svenja Ehlers, Norbert P. Hoffmann

Neural Networks, 2022

2020

Deep learning for brake squeal: vibration detection, characterization and prediction.

Merten Stender, Merten Tiedemann, David Spieler, Daniel Schoepflin, Norbert P. Hoffmann, Sebastian Oberst

CoRR, 2020