2021
DOI: 10.1007/s11082-021-03385-x
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Optical solitons in Bragg gratings fibers for the nonlinear (2+1)-dimensional Kundu–Mukherjee–Naskar equation using two integration schemes

Abstract: The current work handles for the …rst time, dispersive optical solitons in …ber Bragg gratings for the nonlinear (2+1)-dimensional Kundu-Mukherjee-Naskar equation. Two integration schemes, namely, the modi…ed Kudryashov's approach and the addendum to Kudryashov's methodology are applied. Dark, bright and singular soliton solutions are obtained. Also, combo bright-singular soliton solutions are introduced.

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Cited by 16 publications
(2 citation statements)
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“…The coupled Kundu-Mukherjee-Naskar (KMN) model for the bimodal Bragg grating ber system has been discussed in [52,53]. Another bimodal coupled system for the KMN equation has been discussed in [42,43] for modeling optical solitonic beams in birefringent fibers without four-wave mixing terms But the model has not been clearly described mentioning its different terms and specialties compared to other systems with Kerr like nonlinearities.…”
Section: Coupled Kmn Equationmentioning
confidence: 99%
“…The coupled Kundu-Mukherjee-Naskar (KMN) model for the bimodal Bragg grating ber system has been discussed in [52,53]. Another bimodal coupled system for the KMN equation has been discussed in [42,43] for modeling optical solitonic beams in birefringent fibers without four-wave mixing terms But the model has not been clearly described mentioning its different terms and specialties compared to other systems with Kerr like nonlinearities.…”
Section: Coupled Kmn Equationmentioning
confidence: 99%
“…To top it off, the model will include spatio-temporal dispersions (STD), along the orthogonal directions, in addition to the usual chromatic dispersion (CD) [30][31][32][33][34][35][36][37][38][39]. The refractive index change is taken in the form of parabolic law of nonlinearity [40][41][42][43][44][45][46][47][48][49]. Additionally, in order to give a flavorful taste from a practical standpoint, the effect of stochasticity, in the form of white noise, is also included along both components of the model with PMD [50][51][52][53][54][55][56][57][58][59].…”
Section: Introductionmentioning
confidence: 99%