High-Fidelity Modeling of Stochastic Chemical Dynamics on Complex Manifolds: A Multiscale SIREN-PINN Framework for the Curvature-Perturbed Ginzburg–Landau Equation

Journal of Nonlinear Science 2026

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Authors: Julian Evan Chrisnanto, Salsabila Rahma Alia, Nurfauzi Fadillah, Yulison Herry Chrisnanto

DOI: 10.1007/s00332-026-10300-9

Cited by: 1

References: 52

Fields of Study & Subjects

Model Reduction and Neural Networks Neural Networks and Reservoir Computing Nonlinear Dynamics and Pattern Formation

References 52