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Article

Soliton Dynamics in the Conformable Nonlinear Schrödinger Equation with Kudryashov-Type Nonlinear Refractive Index and Self-Phase Modulation

by
Muhammad Amin S. Murad
1,
Ali H. Tedjani
2,
Mohammed A. Mustafa
1 and
Zahoor ul Hassan
3,*
1
Department of Mathematics, College of Science, University of Duhok, Duhok 1006, Iraq
2
Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11564, Saudi Arabia
3
Department of Physics, University of the Punjab, Quaid-e-Azam Campus, Lahore 54590, Pakistan
*
Author to whom correspondence should be addressed.
Symmetry 2025, 17(12), 2150; https://doi.org/10.3390/sym17122150
Submission received: 4 October 2025 / Revised: 22 November 2025 / Accepted: 4 December 2025 / Published: 13 December 2025

Abstract

This study investigates the conformable nonlinear Schrödinger equation (NLSE) with self-phase modulation (SPM) and Kudryashov’s generalized refractive index, crucial for pulse propagation in optical fibers. By applying the modified simplest equation method, we derive several novel soliton solutions and investigate their dynamic behavior within the NLSE framework enhanced with a conformable derivative. The governing conformable NLSE also exhibits symmetry patterns that support the structure and stability of the constructed soliton solutions, linking this work directly with symmetry-based analysis in nonlinear wave models. Furthermore, various graphs are presented through 2D, 3D, and contour plots. These visualizations highlight different soliton profiles, including kink-type, wave, dark, and bell-shaped solitons, showcasing the diverse dynamics achievable under this model, influenced by SPM and Kudryashov’s generalized refractive index. The influence of the conformable parameter and temporal effects on these solitons is also explored. These findings advance the understanding of nonlinear wave propagation and have critical implications for optical fiber communications, where managing pulse distortion and maintaining signal integrity are vital.

1. Introduction

Researchers have conducted thorough investigations into the nonlinear conformable partial differential equations, aiming to derive exact and explicit soliton solutions through a variety of methodological [1]. Each method offers unique insights into the behavior of solitons under different conditions, enabling scientists to better understand and predict soliton dynamics. The ongoing research in this area not only enhances the theoretical framework of soliton theory but also has practical implications for fields like fiber optics, fluid dynamics, and plasma physics, where soliton solutions play a crucial role [2]. Recently, various mathematical models have been thoroughly studied and are drawing significant interest. As science and technology continue to advance rapidly, soliton theory has become increasingly important in contemporary scientific research [3]. Its applications span various crucial physical domains, such as optoelectronics, nonlinear optics, and water wave analysis, among others [4,5,6].
Optical solitons are a significant type of wave, known for their capacity to retain their shape over extended distances while experiencing minimal disruption from scattering. These distinctive characteristics play a key role in nonlinear optics, where they contribute to the development and enhancement of equations designed to precisely model soliton solutions. Research on optical solitons is advancing rapidly across various fields of applied sciences [7,8,9]. Soliton solutions have found extensive application in multiple domains, including nonlinear communication engineering, fluid dynamics, plasma physics, and optics. These solutions are pivotal for enhancing global communication networks, which are essential for modern technological advancement. To introduce soliton solutions for nonlinear evolution equations, mathematicians have devised advanced analytical and numerical methods [10,11,12]. Researchers employ a variety of nonlinear physical models to investigate and predict the behavior of soliton waves. Consequently, soliton waves are becoming increasingly significant in areas such as ferromagnetic materials and nonlinear optics. Optical solitons [13,14], in particular, are known for their ability to maintain their shape over long distances with minimal scattering. This characteristic makes them highly valuable in nonlinear optics, where their distinctive properties contribute to the development and analysis of equations that model soliton solutions. The study of optical solitons is progressing rapidly across several applied scientific fields [15,16].
In [17], N. Kudryashov, a Russian mathematician, presented a model for the nonlinear refractive index, offering a thorough framework to describe pulse propagation within nonlinear optics. These concepts are enhancing soliton pulse performance, helping manage Internet bottlenecks in optical fibers, photonic crystal fibers, optical metamaterials, and similar waveguides. Recently, novel forms of nonlinear refractive index have introduced diverse self-phase modulation (SPM) effects in the nonlinear Schrödinger equation (NLSE) [18,19]. Consider the following form of time-conformable nonlinear Schrödinger equation [20]:
i α q t α + a q x x + b 1 | q | 4 n + b 2 | q | 3 n + b 3 | q | 2 n + b 4 | q | n + b 5 | q | n + b 6 | q | 2 n + b 7 | q | 3 n + b 8 | q | 4 n q i λ ( q | q | 2 m ) x + θ ( | q | 2 m ) x q + μ q x | q | 2 m = 0 , 0 < α 1 ,
In the above equation, t signifies temporal variables while x denotes spatial variables. Here, n and m are the power nonlinearity parameter and the maximum intensity. The coefficient a is the chromatic dispersion and h i , i = 1 , , 8 are the nonlinearity coefficients. Further, the coefficients μ and θ represent the nonlinearity dispersion and the higher order coefficients, respectively. The present model with fourth order dispersion and third order dispersion using improved modified extended tanh method was studied by Samir et al. [21]. Cubic-quartic exact solutions for the Kudryashov law, featuring a dual form of generalized nonlocal nonlinearity are constructed in [22]. Compare to the soliton solutions presented in [20,21,22], the optical soliton solutions constructed in this paper are novel and have not been reported previously in the literature. Further, α ( . ) t α represents the conformable derivative. We explore the fundamentals of conformable derivatives, essential for understanding the dynamics of complex physical phenomena. conformable derivatives find applications across physics, engineering, finance, and biology, highlighting their value in analyzing complex systems. The Conformable derivative define as:
L α q ( z ) = lim d 0 q ( z + d z 1 α ) q ( z ) d , α ( 0 , 1 ] .
Suppose that q 1 and q 2 are conformable differentiable of order α , and s 1 , s 2 R . The following hold [23]:
i.
L α ( s 1 q 1 + s 2 q 2 ) = s 1 L α ( q 1 ) + s 2 L α ( q 2 ) .
ii.
L α ( x l ) = l x l α for all l R .
iii.
L α ( q 1 q 2 ) = q 2 L α ( q 1 ) + q 1 L β ( q 2 ) .
iv.
L α q 1 q 2 = q 2 L α ( q 1 ) q 1 L α ( q 2 ) q 2 2 .
This study investigates the nonlinear Schrödinger equation incorporating a self-phase modulation (SPM) type, utilizing Kudryashov’s generalized refractive index with a conformable derivative relevant to diverse aspects of pulse propagation in optical fibers. By applying the modified simplest equation method, several novel soliton solutions are derived. The principal objective of this research is to examine the dynamic behavior of these newly constructed optical soliton solutions within the framework of the NLSE with a conformable derivative. Physically, the conformable parameter can be interpreted as a measure of the medium’s degree of nonlocality or heterogeneity. When α = 1 , the model reduces to the classical integer-order case, representing an ideal homogeneous optical fiber. For α < 1 , the system accounts for nonuniformities, memory effects, or deviations from perfect homogeneity that naturally arise in realistic nonlinear optical materials. Thus, α offers a tunable link between ideal and conformable behaviors, enabling a more flexible description of soliton dynamics in complex or weakly disordered media.
Symmetry plays a central role in analyzing nonlinear evolution equations, including the conformable NLSE studied here. Invariant transformations—such as scaling, phase rotation, translation, and amplitude–phase couplings—help organize the equation’s solution space and explain why certain soliton profiles persist under conformable -order effects. These symmetry features also support the stability and classification of the soliton families derived through the modified simplest equation method. By linking the model to its underlying symmetry structure, this study fits naturally within current symmetry-oriented research and contributes to ongoing developments in the analysis of nonlinear optical wave equations.

2. Formulation of Problem

In this section, the new direct mapping method is applied to analyze the conformable Kudryashov equation and to generate several closed-form optical solutions in various forms. we start with employing the following transformations:
q ( x , t ) = U ( ξ ) e i ϕ ( x , t ) , ξ = η x v t α α , ϕ ( x , t ) = u k x + w t α α ,
where u represents the phase center, w stands for the soliton wave, k stands for soliton frequency, and v represents the soliton velocity. Here, by plugging the transformations in (3) into Equation (1), we obtain the real part:
a η 2 U ( ξ ) U ( ξ ) ( a k 2 + w ) + b 1 U ( ξ ) 1 4 n + b 2 U ( ξ ) 1 3 n + b 3 U ( ξ ) 1 2 n + b 4 U ( ξ ) 1 n + b 5 U ( ξ ) n + 1 + b 6 U ( ξ ) 2 n + 1 + b 7 U ( ξ ) 3 n + 1 + b 8 U ( ξ ) 4 n + 1 k ( λ + μ ) U ( ξ ) 2 m + 1 = 0 ,
and the imaginary part:
η ( λ + μ + 2 m ( λ + θ ) ) U ( ξ ) 2 m U ( ξ ) η ( 2 a k + v ) U ( ξ ) = 0 .
Using the Equation (5), we can have:
v = 2 a k , λ + μ + 2 m ( λ + θ ) = 0 .
Setting the following transformation:
U ( ξ ) = V ( ξ ) 1 2 n .
Inserting the above transformation into Equation (4), we obtain
( 2 n V ( ξ ) V ( ξ ) + V ( ξ ) 2 ( 1 2 n ) ) a η 2 4 n 2 ( a k 2 + w ) V ( ξ ) 2 + 4 b 6 n 2 V ( ξ ) 3 + 4 b 1 n 2 + 4 b 2 n 2 V ( ξ ) 1 2 + 4 b 3 n 2 V ( ξ ) + 4 b 4 n 2 V ( ξ ) 3 2 + 4 b 5 n 2 V ( ξ ) 5 2 + 4 b 7 n 2 V ( ξ ) 7 2 + 4 b 8 n 2 V ( ξ ) 4 4 k n 2 ( λ + μ ) V ( ξ ) m n + 2 = 0 ,
To guarantee the integrability of the above equation, we set b 2 = b 4 = b 5 = b 7 = 0 and m = 2 n . Thus, Equation (8) is simplified to the following ordinary differential equation:
( 2 n V ( ξ ) V ( ξ ) + V ( ξ ) 2 ( 1 2 n ) ) a η 2 + 4 b 6 n 2 V ( ξ ) 3 + 4 b 8 n 2 V ( ξ ) 4 4 n 2 ( a k 2 + w ) V ( ξ ) 2 4 k n 2 ( λ + μ ) V ( ξ ) 4 + 4 b 1 n + 4 b 3 n 2 V ( ξ ) = 0 .

3. Application of Modified Simplest Equation Method

In this section, we present several novel optical soliton solutions for the current model using the modified simplest equation method. We assume that the solution to Equation (9) can be expressed as the following series:
V ( ξ ) = c 0 + i = 1 N c i F ( ξ ) i ,
where c 0 , c 1 , , c N are real constants, and N denotes a balancing parameter. By balancing principle for V ( ξ ) 2 and V ( ξ ) 4 in Equation (9), we obtain N = 1 . Thus, Equation (10) reduces to the following series:
V ( ξ ) = c 0 + c 1 F ( ξ ) ,
where F ( ξ ) satisfies the following relation:
F ( ξ ) = γ 0 + F ( ξ ) 2 .
The solutions to the above equation with parameter s can be defined as follows:
Case 1: If γ 0 < 0 .
F 1 ( ξ ) = γ 0 tanh γ 0 ( ξ + s ) ,
F 2 ( ξ ) = γ 0 coth γ 0 ( ξ + s ) ,
F 3 ( ξ ) = γ 0 tanh 2 γ 0 ( ξ + s ) + i sech 2 γ 0 ( ξ + s ) ,
F 4 ( ξ ) = γ 0 coth 2 γ 0 ( ξ + s ) + csch 2 γ 0 ( ξ + s ) ,
F 5 ( ξ ) = γ 0 2 tanh γ 0 2 ( ξ + s ) + coth γ 0 2 ( ξ + s ) .
Case 2: If γ 0 > 0 .
  F 6 ( ξ ) = γ 0 tan γ 0 ( ξ + s ) ,
  F 7 ( ξ ) = γ 0 cot γ 0 ( ξ + s ) ,
  F 8 ( ξ ) = γ 0 tan 2 γ 0 ( ξ + s ) + sec 2 γ 0 ( ξ + s ) ,
  F 9 ( ξ ) = γ 0 cot 2 γ 0 ( ξ + s ) + csc 2 γ 0 ( ξ + s ) ,
  F 10 ( ξ ) = γ 0 2 tan γ 0 2 ( ξ + s ) + cot γ 0 2 ( ξ + s ) .
By substituting Equations (11) and (12) into Equation (9), we obtain a polynomial in terms of the powers of F ( ξ ) . Next, we organize the terms according to their respective powers and equate each corresponding coefficient to zero. This procedure results in a system of algebraic equations as follows:
( F ( ξ ) ) 0 : ( 4 μ 4 λ k + 4 b 8 c 0 4 + 4 b 6 c 0 3 + ( 4 a k 2 4 w ) c 0 2 + 4 b 3 c 0 + 4 b 1 ) n 2 2 n a η 2 c 1 2 γ 0 2 + a η 2 c 1 2 γ 0 2 = 0 ,
( F ( ξ ) ) 1 : 4 c 1 n 4 μ 4 λ k + 4 b 8 c 0 3 + 3 b 6 c 0 2 + 2 a k 2 2 w c 0 + b 3 n + a γ 0 η 2 c 0 = 0 ,
( F ( ξ ) ) 2 : 24 k λ n 2 c 0 2 c 1 2 24 k μ n 2 c 0 2 c 1 2 4 a k 2 n 2 c 1 2 + 24 n 2 b 8 c 0 2 c 1 2 + 2 a η 2 c 1 2 γ 0 + 12 n 2 b 6 c 0 c 1 2 4 n 2 w c 1 2 = 0 ,
( F ( ξ ) ) 3 : 16 k λ n 2 c 0 c 1 3 16 k μ n 2 c 0 c 1 3 + 16 n 2 b 8 c 0 c 1 3 + 4 a η 2 n c 0 c 1 + 4 n 2 b 6 c 1 3 = 0 ,
( F ( ξ ) ) 4 : 4 k λ n 2 c 1 4 4 k μ n 2 c 1 4 + 4 n 2 b 8 c 1 4 + 2 n a η 2 c 1 2 + a η 2 c 1 2 = 0 .
Result 1.
c 0 = c 0 , c 1 = c 1 , a = 4 n 2 μ + λ k b 8 c 1 2 η 2 2 n + 1 , w = μ + λ k b 8 2 c 1 2 γ 0 3 c 0 2 η 2 + 4 k 2 n 2 c 1 2 η 2 2 n + 1 , b 1 = 2 n 1 μ + λ k b 8 c 1 2 γ 0 + c 0 2 2 2 n + 1 , b 3 = 4 n 1 c 0 μ + λ k b 8 c 1 2 γ 0 + c 0 2 2 n + 1 , b 6 = 4 c 0 μ + λ k b 8 n + 1 2 n + 1 .
Case 1: If γ 0 < 0 .
Utilizing Equations (3), (6), (7), (11), (13)–(17) and (23), the following solutions are acquired:
q 1 ( x , t ) = c 0 + c 1 γ 0 tanh γ 0 η Ω 1 + s 1 2 n e i u k x + w t α α ,
q 2 ( x , t ) = c 0 + c 1 γ 0 coth γ 0 η Ω 1 + s 1 2 n e i u k x + w t α α ,
q 3 ( x , t ) = c 0 + c 1 γ 0 tanh 2 γ 0 η Ω 1 + s + i sech 2 γ 0 η Ω 1 + s 1 2 n e i u k x + w t α α ,
q 4 ( x , t ) = c 0 + c 1 γ 0 coth 2 γ 0 η Ω 1 + s + csch 2 γ 0 η Ω 1 + s 1 2 n e i u k x + w t α α ,
q 5 ( x , t ) = c 0 + c 1 2 γ 0 tanh γ 0 2 η Ω 1 + s + coth γ 0 2 η Ω 1 + s 1 2 n e i u k x + w t α α .
Case 2: If γ 0 > 0 .
Utilizing Equations (3), (6), (7), (11), (18)–(22), and (23), the following solutions are acquired:
q 6 ( x , t ) = c 0 + c 1 γ 0 tan γ 0 η Ω 1 + s 1 2 n e i u k x + w t α α ,
q 7 ( x , t ) = c 0 + c 1 γ 0 cot γ 0 η Ω 1 + s 1 2 n e i u k x + w t α α ,
q 8 ( x , t ) = c 0 + c 1 γ 0 tan 2 γ 0 η Ω 1 + s + sec 2 γ 0 η Ω 1 + s 1 2 n e i u k x + w t α α ,
q 9 ( x , t ) = c 0 + c 1 γ 0 cot 2 γ 0 η Ω 1 + s + csc 2 γ 0 η Ω 1 + s 1 2 n e i u k x + w t α α ,
q 10 ( x , t ) = c 0 + c 1 2 γ 0 tan γ 0 2 η Ω 1 + s + cot γ 0 2 η Ω 1 + s 1 2 n e i u k x + w t α α ,
where Ω 1 = x + 8 2 m λ + θ k b 8 c 1 2 n 2 k t α η 2 2 n + 1 α .
Result 2.
c 0 = c 0 , c 1 = k λ + k μ b 8 a 2 n + 1 η 2 k λ + k μ b 8 n , w = 4 k 2 n 3 a + 2 a k 2 + 12 c 0 2 μ + λ k b 8 n 2 + 2 γ 0 n a η 2 + γ 0 a η 2 4 n 3 + 2 n 2 , b 1 = 2 c 0 2 μ + λ k b 8 n 2 + γ 0 n a η 2 + γ 0 a η 2 2 2 n 1 2 4 μ + λ k b 8 n + 1 2 n 4 , b 6 = 4 n + 1 μ + λ k b 8 c 0 2 n + 1 , b 3 = 2 2 c 0 2 μ + λ k b 8 n 2 + γ 0 n a η 2 + γ 0 a η 2 2 c 0 n 1 2 n 3 + n 2 .
Case 1: If γ 0 < 0 .
Utilizing Equations (3), (6), (7), (11), (13)–(17) and (34), the following solutions are acquired:
q 11 ( x , t ) = c 0 + c 1 γ 0 tanh γ 0 η Ω 2 + s 1 2 n e i u k x + w t α α ,
q 12 ( x , t ) = c 0 + c 1 γ 0 coth γ 0 η Ω 2 + s 1 2 n e i u k x + w t α α ,
q 13 ( x , t ) = c 0 + c 1 γ 0 tanh 2 γ 0 η Ω 2 + s + i sech 2 γ 0 η Ω 2 + s 1 2 n e i u k x + w t α α ,
q 14 ( x , t ) = c 0 + c 1 γ 0 coth 2 γ 0 η Ω 2 + s + csch 2 γ 0 η Ω 2 + s 1 2 n e i u k x + w t α α ,
q 15 ( x , t ) = c 0 + c 1 2 γ 0 tanh γ 0 2 η Ω 2 + s + coth γ 0 2 η Ω 2 + s 1 2 n e i u k x + w t α α .
Case 2: If γ 0 > 0 .
Utilizing Equations (3), (6), (7), (11), (18)–(22), and (34), the following solutions are acquired:
q 16 ( x , t ) = c 0 + c 1 γ 0 tan γ 0 η Ω 2 + s 1 2 n e i u k x + w t α α ,
q 17 ( x , t ) = c 0 + c 1 γ 0 cot γ 0 η Ω 2 + s 1 2 n e i u k x + w t α α ,
q 18 ( x , t ) = c 0 + c 1 γ 0 tan 2 γ 0 η Ω 2 + s + sec 2 γ 0 η Ω 2 + s 1 2 n e i u k x + w t α α ,
q 19 ( x , t ) = c 0 + c 1 γ 0 cot 2 γ 0 η Ω 2 + s + csc 2 γ 0 η Ω 2 + s 1 2 n e i u k x + w t α α ,
q 20 ( x , t ) = c 0 + c 1 2 γ 0 tan γ 0 2 η Ω 2 + s + cot γ 0 2 η Ω 2 + s 1 2 n e i u k x + w t α α ,
where Ω 2 = x + 2 a k t α α .
Result 3.
c 0 = c 0 , c 1 = 6 n 2 k 2 3 γ 0 η 2 c 0 γ 0 η , w = 6 n 4 k 4 b 1 3 n 2 k 2 + γ 0 η 2 2 2 n 1 c 0 2 , b 3 = 2 γ 0 η 2 b 1 n 1 3 n 2 k 2 + γ 0 η 2 2 n 1 c 0 , b 6 = b 1 γ 0 2 η 4 n + 1 3 n 2 k 2 + γ 0 η 2 2 2 n 1 c 0 3 , b 8 = 72 μ + λ k n 2 k 2 + γ 0 η 2 3 2 n 1 2 c 0 4 2 γ 0 2 η 4 b 1 n + 1 2 4 c 0 4 2 n 1 3 n 2 k 2 + γ 0 η 2 2 , a = 3 n 2 b 1 2 n 2 k 2 + γ 0 η 2 3 n 2 k 2 + γ 0 η 2 2 2 n 1 c 0 2 .
Case 1: If γ 0 < 0 .
Utilizing Equations (3), (6), (7), (11), (13)–(17) and (45), the following solutions are acquired:
q 21 ( x , t ) = c 0 + c 1 γ 0 tanh γ 0 η Ω 3 + s 1 2 n e i u k x + w t α α ,
q 22 ( x , t ) = c 0 + c 1 γ 0 coth γ 0 η Ω 3 + s 1 2 n e i u k x + w t α α ,
q 23 ( x , t ) = c 0 + c 1 γ 0 tanh 2 γ 0 η Ω 3 + s + i sech 2 γ 0 η Ω 3 + s 1 2 n e i u k x + w t α α ,
q 24 ( x , t ) = c 0 + c 1 γ 0 coth 2 γ 0 η Ω 3 + s + csch 2 γ 0 η Ω 3 + s 1 2 n e i u k x + w t α α ,
q 25 ( x , t ) = c 0 + c 1 2 γ 0 tanh γ 0 2 η Ω 3 + s + coth γ 0 2 η Ω 3 + s 1 2 n e i u k x + w t α α .
Case 2: If γ 0 > 0 .
  • Utilizing Equations (3), (6), (7), (11), (18)–(22), and (45), the following solutions are acquired:
q 26 ( x , t ) = c 0 + c 1 γ 0 tan γ 0 η Ω 3 + s 1 2 n e i u k x + w t α α ,
q 27 ( x , t ) = c 0 + c 1 γ 0 cot γ 0 η Ω 3 + s 1 2 n e i u k x + w t α α ,
q 28 ( x , t ) = c 0 + c 1 γ 0 tan 2 γ 0 η Ω 3 + s + sec 2 γ 0 η Ω 3 + s 1 2 n e i u k x + w t α α ,
q 29 ( x , t ) = c 0 + c 1 γ 0 cot 2 γ 0 η Ω 3 + s + csc 2 γ 0 η Ω 3 + s 1 2 n e i u k x + w t α α ,
q 30 ( x , t ) = c 0 + c 1 2 γ 0 tan γ 0 2 η Ω 3 + s + cot γ 0 2 η Ω 3 + s 1 2 n e i u k x + w t α α ,
where Ω 3 = x 8 2 m λ + θ k b 8 c 1 2 n 2 k t α η 2 2 n + 1 α .

4. Results and Discussion

In this section, specific values of the physical parameters are selected to emphasize the significance of the newly derived optical solutions in the context of the governing equation. The effect of the parameters β and t on the derived soliton solutions is demonstrated using three-dimensional and two-dimensional plot graphs. Figure 1, Figure 2, Figure 3, Figure 4, Figure 5 and Figure 6 provide contour, three-dimensional, and two-dimensional visualizations that depict the behavior of the current solutions.
The three-dimensional plot and the contour plot, and the two-dimensional plot illustrate the effect of the temporal parameter on the two-dimensional plot of the kink-type soliton solutions of q 1 ( x , t ) 2 is presented in Figure 1a, Figure 1b, and Figure 1c, respectively. However, the effect of the conformable parameter on the three-dimensional plot, the contour plot, and the two-dimensional plot of the kink-type soliton solutions of q 1 ( x , t ) 2 is presented in Figure 1d, Figure 1e, and Figure 1f, respectively. In optical fiber systems, modulating input pulses to mimic kink-type soliton profiles can lead to more robust data transmission. Engineers can adjust parameters like pulse width, amplitude, and fiber nonlinearity to optimize transmission characteristics and achieve desired stability. Figure 2a, Figure 2b, and Figure 2c depict the three-dimensional plot, the contour plot, and the effect of the temporal parameter on the two-dimensional plot of the wave optical solution Re ( q 1 ( x , t ) ) , respectively. In the context of optical fiber communication systems, modulating input pulses to mimic kink-type soliton profiles can enhance signal robustness and resistance to dispersion and noise. Practical control over parameters such as pulse width, amplitude, and fiber nonlinearity enables engineers to optimize energy confinement and transmission stability.
The three-dimensional plot, contour plot, and two-dimensional plot in Figure 3a, Figure 3b, and Figure 3c, respectively, illustrate the impact of the time parameter on the two-dimensional plot of the dark soliton solutions of q 11 ( x , t ) 2 . However, the effect of the conformable parameter on the three-dimensional plot, the contour plot, and the two-dimensional plot of the dark soliton solutions of q 11 ( x , t ) 2 is presented in Figure 3d, Figure 3e, and Figure 3f, respectively. Dark solitons are crucial for optical communication, where they can propagate without distortion over long distances, preserving the integrity of transmitted signals. The analysis of different values of the conformable derivative allows for a deeper understanding of how solitons behave under varying conditions, which is essential for managing dispersion and nonlinearity in fiber optics. This insight can aid in optimizing pulse propagation in optical fibers, enhancing the efficiency of high-speed data transmission, and improving the design of optical switches, modulators, and filters in photonic devices. These results reveal how variations in the conformable parameter alter the soliton’s amplitude, width, and velocity, reflecting the balance between dispersion and nonlinearity within the medium.
Figure 5a illustrates the impact of the conformable parameter on the soliton solution q 11 ( x , t ) 2 , while Figure 5b and Figure 5c depict the effect of the temporal parameter on the soliton solution q 11 ( x , t ) 2 for two different values, α = 1 and α = 0.5 , respectively. The three-dimensional plot and the contour plot, and the two-dimensional plot illustrate the effect of the temporal parameter on the two-dimensional plot of the bright soliton solutions of q 21 ( x , t ) 2 is presented in Figure 5a, Figure 5b, and Figure 5c, respectively. However, the effect of the conformable parameter on the three-dimensional plot, the contour plot, and the two-dimensional plot of the bright soliton solutions of q 21 ( x , t ) 2 is presented in Figure 5d, Figure 5e, and Figure 5f, respectively. It is evident that decreasing α leads to a broader soliton width and a slight reduction in peak amplitude, indicating that the conformable derivative directly modulates the soliton’s energy confinement and propagation stability.
Figure 6a, Figure 6b, and Figure 6c depict the three-dimensional plot, the contour plot, and the effect of the temporal parameter on the two-dimensional plot of the wave optical solution Re ( q 21 ( x , t ) ) , respectively. These results suggest that the conformable derivative parameter α plays a significant role in controlling dispersion and nonlinearity balance, making it a tunable factor for managing pulse dynamics in practical optical fiber systems such as dispersion-managed or photonic crystal fibers.
The conformable derivative, applied in the context of optical fibers, can be used to model more complex and realistic physical phenomena, such as nonlinearity and dispersion, in ways that traditional calculus might not fully capture. The conformable derivative generalizes the classical derivative, allowing conformable -order dynamics to be incorporated into models. In optical fiber systems, this can enhance the modeling of pulse propagation, including the behavior of solitons. By using the conformable rule, researchers can explore how varying degrees of nonlinearity and dispersion affect the stability, shape, and speed of solitons, providing more flexibility in fine-tuning optical fibers for specific applications. This can improve signal processing, such as in high-capacity data transmission, optical switches, and the control of light pulses in photonic circuits.

5. Conclusions

In conclusion, this study provides a comprehensive exploration of the nonlinear conformable Schrödinger equation enhanced by Kudryashov’s generalized refractive index, uncovering novel soliton solutions with unique dynamic characteristics. By applying the modified simplest equation method, we derived a range of soliton profiles, including kink-type, wave, dark, and bell-shaped solitons, each visualized through 2D, 3D, and contour plots. These results highlight the significance of the conformable order parameter in modulating soliton behavior, demonstrating the valuable role of conformable calculus in modeling nonlinear wave dynamics. Alongside the analytical results, the extensive collection of the 2D and 3D, and contour figures offers a clear visual interpretation of how the obtained solutions evolve under varying physical parameter regimes. The graphical analyses demonstrate the influence of the conformable derivative order, nonlinear refractive index on the amplitude, and dispersion parameters, width, and propagation behavior of the obtained solitons. Moreover, relative to prior studies of the NLSE model incorporating Kudryashov-type refractive indices and fractional or conformable operators, the present work offers a wide range of solutions and more intricate dynamical features. Previous works typically focus on limited soliton categories or confine their analysis to classical-order derivatives. In contrast, this work identifies novel solitons and parameter-dependent dynamical behavior that have not been documented in earlier literature. The combined graphical and analytical comparison illustrates the unique contribution of this research and reinforces the suitability of the conformable NLSE framework for modeling complex optical pulse propagation. Our findings mark a substantial improvement over classical models, offering new perspectives for optical fiber communication, where controlling pulse distortion and maintaining signal integrity are vital. This research thereby makes an important contribution to the study of nonlinear wave propagation, enhancing the potential for robust, efficient communication technologies within complex optical systems.

Author Contributions

M.A.S.M.: Conceptualization, Formal analysis, Methodology, Software, Writing—original draft. A.H.T.: Funding acquisition, Supervision, Validation. M.A.M.: Methodology, Visualization, Writing—review & editing. Z.u.H.: Project administration, Supervision. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported and funded by the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University (IMSIU) (grant number IMSIU-DDRSP2502).

Data Availability Statement

Data is contained within the article.

Conflicts of Interest

The authors declare that they have neither financial nor conflicts of interest.

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Figure 1. The kink-type plots of q 1 ( x , t ) 2 , where a = 0.5 , η = 0.5 , λ = 0.5 , m = 0.5 , k = 3 , u = 1 , c 1 = 0.2 , c 0 = 2.5 , γ 0 = 2 , θ = 0.5 , n = 0.5 , b 8 = 0.1 , and s = 0.5 .
Figure 1. The kink-type plots of q 1 ( x , t ) 2 , where a = 0.5 , η = 0.5 , λ = 0.5 , m = 0.5 , k = 3 , u = 1 , c 1 = 0.2 , c 0 = 2.5 , γ 0 = 2 , θ = 0.5 , n = 0.5 , b 8 = 0.1 , and s = 0.5 .
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Figure 2. The mixed dark–bright soliton plots of R e ( q 1 ( x , t ) ) , where a = 0.5 , η = 0.5 , λ = 0.5 , m = 0.5 , k = 3 , u = 1 , c 1 = 0.2 , c 0 = 2.5 , γ 0 = 2 , θ = 0.5 , n = 3 , b 8 = 0.1 , s = 0.5 , and α = 1 . (a) 3D Plot, (b) Contour Graph, (c) Line grap for differen values of α .
Figure 2. The mixed dark–bright soliton plots of R e ( q 1 ( x , t ) ) , where a = 0.5 , η = 0.5 , λ = 0.5 , m = 0.5 , k = 3 , u = 1 , c 1 = 0.2 , c 0 = 2.5 , γ 0 = 2 , θ = 0.5 , n = 3 , b 8 = 0.1 , s = 0.5 , and α = 1 . (a) 3D Plot, (b) Contour Graph, (c) Line grap for differen values of α .
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Figure 3. The dark-shaped plots of q 11 ( x , t ) 2 , where a = 0.1 , η = 0.9 , λ = 0.5 , m = 0.5 , k = 3 , u = 1 , c 0 = 2 , γ 0 = 2 , θ = 0.5 , n = 0.35 , b 8 = 2 , and s = 0.5 .
Figure 3. The dark-shaped plots of q 11 ( x , t ) 2 , where a = 0.1 , η = 0.9 , λ = 0.5 , m = 0.5 , k = 3 , u = 1 , c 0 = 2 , γ 0 = 2 , θ = 0.5 , n = 0.35 , b 8 = 2 , and s = 0.5 .
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Figure 4. The effect of t with α = 1 and α = 0.5 , where a = 0.1 , η = 0.9 , λ = θ = 0.5 , k = 3 , u = 1 , c 0 = 2 , γ 0 = 2 , n = 0.35 , b 8 = 2 , and s = 0.5 . (a) 2D line graph for different values of α , (b) Time series plots at α = 1, (c) Time series plots at α =0.5.
Figure 4. The effect of t with α = 1 and α = 0.5 , where a = 0.1 , η = 0.9 , λ = θ = 0.5 , k = 3 , u = 1 , c 0 = 2 , γ 0 = 2 , n = 0.35 , b 8 = 2 , and s = 0.5 . (a) 2D line graph for different values of α , (b) Time series plots at α = 1, (c) Time series plots at α =0.5.
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Figure 5. The bright-shape plots of | q 21 ( x , t ) | 2 , where a = 0.1 , η = 0.9 , λ = s = 0.5 , k = 3 , u = 1 , c 0 = b 1 = 0.2 , θ = 0.5 , n = 1 , and γ 0 = 2 .
Figure 5. The bright-shape plots of | q 21 ( x , t ) | 2 , where a = 0.1 , η = 0.9 , λ = s = 0.5 , k = 3 , u = 1 , c 0 = b 1 = 0.2 , θ = 0.5 , n = 1 , and γ 0 = 2 .
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Figure 6. The wave soliton plots of | q 21 ( x , t ) | 2 , where a = 0.1 , η = 0.9 , λ = 0.5 , k = 3 , u = 1 , c 0 = 0.2 , γ 0 = 2 , θ = 0.5 , n = 1 , b 1 = 0.2 , s = 0.5 , and α = 1 . (a) 3D plot, (b) Contour graph, (c) Time series plots at different values of t.
Figure 6. The wave soliton plots of | q 21 ( x , t ) | 2 , where a = 0.1 , η = 0.9 , λ = 0.5 , k = 3 , u = 1 , c 0 = 0.2 , γ 0 = 2 , θ = 0.5 , n = 1 , b 1 = 0.2 , s = 0.5 , and α = 1 . (a) 3D plot, (b) Contour graph, (c) Time series plots at different values of t.
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MDPI and ACS Style

Murad, M.A.S.; Tedjani, A.H.; Mustafa, M.A.; ul Hassan, Z. Soliton Dynamics in the Conformable Nonlinear Schrödinger Equation with Kudryashov-Type Nonlinear Refractive Index and Self-Phase Modulation. Symmetry 2025, 17, 2150. https://doi.org/10.3390/sym17122150

AMA Style

Murad MAS, Tedjani AH, Mustafa MA, ul Hassan Z. Soliton Dynamics in the Conformable Nonlinear Schrödinger Equation with Kudryashov-Type Nonlinear Refractive Index and Self-Phase Modulation. Symmetry. 2025; 17(12):2150. https://doi.org/10.3390/sym17122150

Chicago/Turabian Style

Murad, Muhammad Amin S., Ali H. Tedjani, Mohammed A. Mustafa, and Zahoor ul Hassan. 2025. "Soliton Dynamics in the Conformable Nonlinear Schrödinger Equation with Kudryashov-Type Nonlinear Refractive Index and Self-Phase Modulation" Symmetry 17, no. 12: 2150. https://doi.org/10.3390/sym17122150

APA Style

Murad, M. A. S., Tedjani, A. H., Mustafa, M. A., & ul Hassan, Z. (2025). Soliton Dynamics in the Conformable Nonlinear Schrödinger Equation with Kudryashov-Type Nonlinear Refractive Index and Self-Phase Modulation. Symmetry, 17(12), 2150. https://doi.org/10.3390/sym17122150

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