Complex network theory has become a key analytical framework in modern physics for studying structure, dynamics, and emergent behaviour in complex systems.

Nonlinearities are ever-present in various engineering problems and play a crucial role in the analysis, design, and control of engineering systems as they can drastically change the dominant ...

Engineers at Tokyo Institute of Technology (Tokyo Tech) have demonstrated a simple computational approach for supporting the classification performance of neural networks operating on sensor time ...

Nonlinear dynamics in fluids is a research area focused on the analysis and prediction of fluid flows governed by nonlinear partial differential equations, such as the Navier–Stokes and Euler ...

Anyone with a chronic illness understands the struggle of living with a disease that is deeply unpredictable. Many such illnesses are characterized by long periods of remission broken up by sudden, ...

Efficient Large Displacement/Large Rotation Dynamic Simulations Using Nonlinear Dynamic Substructures Utilizing reduced-order dynamic math models (DMM) in linear system-level dynamic analyses is a ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...