Norbert Hoffmann

Hamburg University of Technology

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Articles (20)

Collaborators (7)

Marco Klein

Head of Department

Deutsches Zentrum für Luft- und Raumfahrt (DLR)

Stefano Trillo

Full Professor

University of Ferrara

Christoph Schwingshackl

Imperial College London

UNITED KINGDOM

Merten Stender

Philippe DUFRENOY

Professeur des universités

Laboratoire de Mécanique Multiphysique Multiéchelle

Sören Ehlers

Hamburg University of Technology

Alexander Heinlein

Assistant Professor Numerical Analysis

Delft University of Technology

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Norbert Hoffmann

Research Interests

Explore related searches

Contact this professor

Articles (20)

Collaborators (7)

Marco Klein

Stefano Trillo

Christoph Schwingshackl

Merten Stender

Philippe DUFRENOY

Sören Ehlers

Alexander Heinlein

Make your next move.

Norbert Hoffmann

Research Interests

Explore related searches

Contact this professor

Articles (20)

The influence of the modeling order on the predictable area of non-linear unidirectional ocean waves

Data-driven, non-linear ship response prediction based on time series of irregular, long-crested sea states amidships

Physics-informed neural networks for phase-resolved data assimilation and prediction of nonlinear ocean waves

Exploitation of Modal Superposition Toward Forced Vibration Localization in a Coupled Symmetric Oscillator Array

Exploring localization in nonlinear oscillator systems through network-based predictions

Building functional networks for complex response analysis in systems of coupled nonlinear oscillators

Data Assimilation and Parameter Identification for Water Waves Using the Nonlinear Schrödinger Equation and Physics-Informed Neural Networks

In Situ Operando Indicator of Dry Friction Squeal

Machine learning simulation of one-dimensional deterministic water wave propagation

Machine learning-based state maps for complex dynamical systems: applications to friction-excited brake system vibrations

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

Up-Net : a generic deep learning-based time stepper for parameterized spatio-temporal dynamics

Nonlinear deterministic reconstruction and prediction of remotely measured ocean surface waves

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

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

Extreme wave excitation from localized phase-shift perturbations

A novel unknown-input and single-output approach to extract vibration patterns via a roving continuous random excitation

A Novel Approach for the Frequency Shift of a Single Component Eigenmode through Mass Addition in the Context of Brake Squeal Reduction

Hydroelastic potential flow solver suited for nonlinear wave dynamics in ice-covered waters

The Influence of Characteristic Sea State Parameters on the Accuracy of Irregular Wave Field Simulations of Different Complexity

Collaborators (7)

Marco Klein

Stefano Trillo

Christoph Schwingshackl

Merten Stender

Philippe DUFRENOY

Sören Ehlers

Alexander Heinlein

Make your next move.