Deep learning for brake squeal: vibration detection, characterization and prediction. - Merten Stender; Merten Tiedemann; David Spieler; Daniel Schoepflin 002; Norbert P. Hoffmann; Sebastian Oberst (CoRR, 2020)

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)

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)

Data-driven reduced order modeling for mechanical oscillators using Koopman approaches. - Charlotte Geier; Merten Stender; Norbert P. Hoffmann (Frontiers Appl. Math. Stat., 2023)

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)

Data Publishing in Mechanics and Dynamics: Challenges, Guidelines, and Examples from Engineering Design. - 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; et al. (CoRR, 2024)

The impact of AI on engineering design procedures for dynamical systems. - 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; et al. (CoRR, 2024)

Physics-informed neural networks for phase-resolved data assimilation and prediction of nonlinear ocean waves. - Svenja Ehlers; Norbert P. Hoffmann; Tianning Tang; Adrian H. Callaghan; Rui Cao; Enrique M. Padilla; Yuxin Fang; Merten Stender (CoRR, 2025)

Denoising and Reconstruction of Nonlinear Dynamics using Truncated Reservoir Computing. - Omid Sedehi; Manish Yadav; Merten Stender; Sebastian Oberst (CoRR, 2025)

Dynamics-Informed Reservoir Computing with Visibility Graphs. - Charlotte Geier; Merten Stender (CoRR, 2025)

Bridging ocean wave physics and deep learning: Physics-informed neural operators for nonlinear wavefield reconstruction in real-time. - Svenja Ehlers; Merten Stender; Norbert P. Hoffmann (CoRR, 2025)