Jamshaid Ul Rahman

Nonlinear Dynamic Analysis of Oscillatory Behavior of Graphene Nano/Microelectromechanical System Using a Hybrid Morlet Wavelet Neural Network Framework

The Nano/microelectromechanical systems (N/MEMS), particularly graphene-based devices, exhibit highly nonlinear and oscillatory dynamic behavior that is complicated to solve accurately utilizing the conventional numerical and theoretical approaches. This study aims to design an a...

Boosted training strategy for physics-informed neural networks in modeling non-linear computer virus dynamics with vertical transmission

Computer-virus propagation in networked systems is often modeled by epidemic-type derivative equations. Still, standard quantitative solvers can become computationally demanding and may exhibit small stability for long-term predictions. This work develops a Physics-Informed Neura...