Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds

Efficient Data-Driven Modeling of Nonlinear Dynamical Systems via Metalearning, Journal of Engineering Mechanics

Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Viscous damping of steady-state resonant sloshing in a clean rectangular tank, Journal of Fluid Mechanics

PDF] Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems

SimTech Publications, Cluster of Excellence SimTech Stuttgart Center for Simulation Science

GitHub - haller-group/SSMLearn: Data-driven reduced order modeling for nonlinear dynamical systems

Fast data-driven model reduction for nonlinear dynamical systems

Regression-based identification and order reduction method for nonlinear dynamic structural models - Libao Wang, Min Xu, 2023

Model reduction for nonlinearizable dynamics via delay-embedded spectral submanifolds

Data-driven Nonlinear Model Reduction to Spectral Submanifolds in Mechanical Systems

Regression-based identification and order reduction method for nonlinear dynamic structural models - Libao Wang, Min Xu, 2023

Phase lag predicts nonlinear response maxima in liquid-sloshing experiments, Journal of Fluid Mechanics

Deformable Morphing and Multivariable Stiffness in the Evolutionary Robotics-Scilight