2016
DOI: 10.1007/s11082-016-0540-z
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Scalar coupled mode theory and variational analysis for planar SOI waveguide arrays: a detailed comparison

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Cited by 2 publications
(2 citation statements)
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“…The spatial Coupled Mode Theory (CMT) is a simple and effective approach widely used to model microwave and optical devices where longitudinal structure perturbations induce coupling between the modes propagating along that direction. After its original formulation [1], the CMT has been extended also to optics [2]- [19] to study the electromagnetic behavior of several fundamental devices such as directional couplers, modulators, filters and lasers. More recently, CMT has been also employed to design a wide variety of structures for different applications: multicore optical fibers for spatial division multiplexing [20], non-Hermitian waveguides [21], graphene based devices [22], optical devices with random geometrical variations [23], just to mention some examples.…”
Section: Introductionmentioning
confidence: 99%
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“…The spatial Coupled Mode Theory (CMT) is a simple and effective approach widely used to model microwave and optical devices where longitudinal structure perturbations induce coupling between the modes propagating along that direction. After its original formulation [1], the CMT has been extended also to optics [2]- [19] to study the electromagnetic behavior of several fundamental devices such as directional couplers, modulators, filters and lasers. More recently, CMT has been also employed to design a wide variety of structures for different applications: multicore optical fibers for spatial division multiplexing [20], non-Hermitian waveguides [21], graphene based devices [22], optical devices with random geometrical variations [23], just to mention some examples.…”
Section: Introductionmentioning
confidence: 99%
“…The presence of large perturbations raised then doubts on the CMT applicability. So, many attempts have been done to overcome its intrinsic limits [6]- [19]. The CMT is in fact always attracting since it is simple to be implemented and fast to be run, and then quite interesting when one does not want to use time and computational power hungry numerical techniques (e.g.…”
Section: Introductionmentioning
confidence: 99%