Physics letters 

About: Physics letters is an academic journal published by Elsevier BV. The journal publishes majorly in the area(s): Computer science & Chemistry. It has an ISSN identifier of 0031-9163. Over the lifetime, 349 publications have been published receiving 518 citations.

Stationary optical solitons with Kudryashov's quintuple power–law of refractive index having nonlinear chromatic dispersion

Abstract: This paper implements extended trial function algorithm to retrieve stationary optical soliton solutions to the governing nonlinear Schrödinger's equation with Kudryashov's lately proposed quintuple power law of refractive index. This studied model comes with nonlinear chromatic dispersion. Both, linear temporal evolution as well as generalized temporal evolution are taken into account.

Oceanic shallow-water symbolic computation on a (2+1)-dimensional generalized dispersive long-wave system

Abstract: Swarming with the waves, the oceans are never calm. Concerning certain dispersive long gravity waves on the shallow water of an open ocean, we check into a (2+1)-dimensional generalized dispersive long-wave system. In relation to the wave height above the undisturbed water surface as well as the horizontal velocity, we symbolically compute out two assemblies of the hetero-Bäcklund transformations and two assemblies of the similarity reductions. Each assembly either brings about a known (2+1)-dimensional Broer-Kaup-Kupershmidt system or comes to a known ordinary differential equation. Also, each assembly relies on the coefficients from the original system.

Bandgap prediction of metal halide perovskites using regression machine learning models

Abstract: Organometal halide perovskites represent a type of nanomaterials, which are extensively used in solar cells, light-emitting diodes, detectors and memristors due to their outstanding optical, electrical and mechanical properties. Here, we use a dataset composed of 240 perovskites to train two machine learning models, ElasticNet and Isotonic Regression, able to predict the bandgaps. The performance of our ML models is evaluated using Correlation coefficient, Mean Absolute Error (MAE), and Root Mean Square Error (RMSE). The lowest MAE of 0.09 eV is calculated for Cs-based perovskites from ElasticNet and Ten-fold cross-validation results. While the highest MAE of 0.34 eV was obtained for MA-based perovskites with Isotonic Regression. Furthermore, a high correlation value of 0.98 between the DFT calculated and ML predicted results is observed. From the detailed comparative analysis, ElasticNet emerges as a prominent machine learning model for predicting the bandgap of metal halide perovskites more accurately. This can also be further employed to predict the various properties of materials and their selection for different applications as well as to expand the investigation to other structures and organic molecules.

Modulated wave and modulation instability gain brought by the cross-phase modulation in birefringent fibers having anti-cubic nonlinearity

Abstract: In this paper, we investigate the modulated wave and W-shaped profile in birefringent fibers having the anti-cubic nonlinearity terms. We use the traveling wave hypothesis to show out the velocity of the soliton and the constraint relation on the anti-cubic nonlinear terms. We use the Jacobi elliptic function solutions to point out two types of combined solutions. After some assumption on the modulus of the Jacobi elliptic function, we have shown out the combined bright-bright soliton and dark-dark soliton-like solutions. We use the linearizing algorithm to analyze the modulation instability (MI) growth rate. We have shown that the anti-cubic nonlinear terms and cross-phase modulation (XPM) can increase MI bands and the amplitude of the MI growth rate. To corroborate the prediction made on analytical results, we use the numerical investigation to show the propagation of the modulated wave and W-shaped profile in terms of cell index. We exhibited through the numerical results that the modulated wave can conserve high energy during its propagation in birefringent fibers. The obtained results will certainly open new perspectives in optical fibers during the transmission of huge data. • The modulated wave and W-shaped profile in birefringent fibers having the anti-cubic nonlinearity terms is studied. • The linear stability analysis is used. • The derived solutions are displayed using 2D and 3D plots.

Stationary optical solitons with complex Ginzburg–Landau equation having nonlinear chromatic dispersion and Kudryashov's refractive index structures

Abstract: This work obtains stationary optical solitons for complex Ginzburg–Landau equation that is structured with Kudryashov's self–phase modulation structures. The chromatic dispersion is also taken to be nonlinear. Six forms of nonlinear refractive index are considered. The adopted integration scheme is the generalized G ′ / G -expansion approach that yields solutions in terms of Jacobi's elliptic functions. The limiting approach, when applied with the modulus of ellipticity leads to the stationary optical solitons that finally emerge from the model. • Stationary optical solitons for complex Ginzburg–Landau equation are addressed. • Nonlinear CD and six forms of Kudryashov's nonlinear refractive index structures are considered. • The adopted integration scheme is the generalized version of G ′ / G -expansion approach. • Bright, dark and singular solitons, and other solutions to the model are obtained.