Merten Stender

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bridging ocean wave physics and deep learning: Physics-informed neural operators for nonlinear wavefield reconstruction in real-time. CoRR Svenja Ehlers, Merten Stender, Norbert P. Hoffmann
2025	J	`jnl`	Denoising and Reconstruction of Nonlinear Dynamics using Truncated Reservoir Computing. CoRR Omid Sedehi, Manish Yadav, Merten Stender, Sebastian Oberst
2025	J	`jnl`	Dynamics-Informed Reservoir Computing with Visibility Graphs. CoRR Charlotte Geier, Merten Stender
2025	J	`jnl`	Physics-informed neural networks for phase-resolved data assimilation and prediction of nonlinear ocean waves. CoRR Svenja Ehlers, Norbert P. Hoffmann, Tianning Tang, Adrian H. Callaghan, Rui Cao, Enrique M. Padilla, Yuxin Fang, Merten Stender
2024	J	`jnl`	Data Publishing in Mechanics and Dynamics: Challenges, Guidelines, and Examples from Engineering Design. CoRR Henrik Ebel, Jan van Delden, Timo Lüddecke, Aditya Borse, Rutwik Gulakala, Marcus Stoffel, Manish Yadav, Merten Stender, Leon Schindler, Kristin Miriam de Payrebrune, Maximilian Raff, C. David Remy, Benedict Röder, Peter Eberhard
2024	J	`jnl`	Data assimilation and parameter identification for water waves using the nonlinear Schrödinger equation and physics-informed neural networks. CoRR Svenja Ehlers, Niklas A. Wagner, Annamaria Scherzl, Marco Klein, Norbert P. Hoffmann, Merten Stender
2024	J	`jnl`	The impact of AI on engineering design procedures for dynamical systems. CoRR Kristin Miriam de Payrebrune, Kathrin Flaßkamp, Tom Ströhla, Thomas Sattel, Dieter Bestle, Benedict Röder, Peter Eberhard, Sebastian Peitz, Marcus Stoffel, Rutwik Gulakala, Aditya Borse, Meike Wohlleben, Walter Sextro, Maximilian Raff, C. David Remy, Manish Yadav, Merten Stender, Jan van Delden, Timo Lüddecke, Sabine C. Langer, Julius Schultz, Christopher Blech
2023	J	`jnl`	Data-driven reduced order modeling for mechanical oscillators using Koopman approaches. Frontiers Appl. Math. Stat. Charlotte Geier, Merten Stender, Norbert P. Hoffmann
2023	J	`jnl`	Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data. CoRR Svenja Ehlers, Marco Klein, Alexander Heinlein, Mathies Wedler, Nicolas Desmars, Norbert P. Hoffmann, Merten Stender
2022	J	`jnl`	Surface Similarity Parameter: A New Machine Learning Loss Metric for Oscillatory Spatio-Temporal Data. CoRR Mathies Wedler, Merten Stender, Marco Klein, Svenja Ehlers, Norbert P. Hoffmann
2022	J	`jnl`	Surface similarity parameter: A new machine learning loss metric for oscillatory spatio-temporal data. Neural Networks Mathies Wedler, Merten Stender, Marco Klein, Svenja Ehlers, Norbert P. Hoffmann
2020	J	`jnl`	Deep learning for brake squeal: vibration detection, characterization and prediction. CoRR Merten Stender, Merten Tiedemann, David Spieler, Daniel Schoepflin, Norbert P. Hoffmann, Sebastian Oberst