SSNO: Spatio-spectral Neural Operator for Functional Space Learning of Partial Differential Equations.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3148401
Abstract: Recent research to solve the parametric partial differential equations shifted the focus of conventional neural networks from finite-dimensional Euclidean space to generalized functional spaces. Neural operators learn the generalized function mapping directly, which was achieved… read more here.
Keywords: partial differential; spatio spectral; spectral neural; neural operator ... See more keywords
Predicting the soliton trapping in birefringence optical fibers via spectral neural operator enhanced by CNLSE-Layer.
Sign Up to like & getrecommendations! Published in 2025 at "Optics letters"
DOI: 10.1364/ol.572368
Abstract: Soliton trapping is a crucial phenomenon among vector optical solitons in a birefringent fiber. To predict the generation of soliton trapping, we embed the coupled nonlinear Schrödinger equations (CNLSE) as one layer into the neural… read more here.
Keywords: spectral neural; operator; soliton trapping; cnlse layer ... See more keywords