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Lanre Akinyemi

Researcher at Lafayette College

Publications -  124
Citations -  2503

Lanre Akinyemi is an academic researcher from Lafayette College. The author has contributed to research in topics: Nonlinear system & Soliton. The author has an hindex of 18, co-authored 55 publications receiving 729 citations. Previous affiliations of Lanre Akinyemi include Ohio University & Prairie View A&M University.

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Soliton solutions to the Boussinesq equation through sine-Gordon method and Kudryashov method

TL;DR: In this paper, the sine-Gordon expansion (SGE) approach and the generalized Kudryashov (GK) scheme are used to establish broad-spectral solutions including unknown parameters and typical analytical solutions.
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Exact solutions of the generalized multidimensional mathematical physics models via sub-equation method

TL;DR: The results obtained affirm that sub-equation method is an efficient and powerful technique for analytic solutions of nonlinear fractional partial differential equations of conformable type.
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Nonlinear dispersion in parabolic law medium and its optical solitons

TL;DR: In this article, the optical soliton solutions of a nonlinear Schrodinger equation (NLSE) involving parabolic law of nonlinearity with the presence of non linear dispersion were investigated by using the generalized auxiliary equation technique.
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Optical soliton solutions of the generalized non-autonomous nonlinear Schrödinger equations by the new Kudryashov’s method

TL;DR: In this article, the optical soliton solutions of the generalized non-autonomous nonlinear Schrodinger equation (NLSE) by means of the new Kudryashov method (NKM) were examined with time-dependent coefficients.
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Efficient analytical techniques for solving time-fractional nonlinear coupled Jaulent–Miodek system with energy-dependent Schrödinger potential

TL;DR: In this article, the authors present analytical-approximate solution to the time-fractional nonlinear coupled Jaulent-Miodek system of equations which comes with an energy-dependent Schrodinger potential by means of a residual power series method (RSPM) and a q-homotopy analysis method (q-HAM).