Zi Yuan

Accelerating transient probabilistic analysis of multidimensional nonlinear stochastic systems via sequential warm-start

This work proposes a unified transient analysis framework by embedding a sequential warm-start strategy into the radial basis function neural network (RBFNN) solver, providing a scalable pathway for uncertainty quantification and transient dynamic analysis of complex multidimensional nonlinear stochastic systems.