In this paper, a solver is developed to obtain accurate analytical solutions for fractional partial differential equations based on artificial neural networks. By leveraging the powerful function ...

This review aims to provide a comprehensive evaluation of the dynamics of the double pendulum, with a particular emphasis on its chaotic behavior. It examines the complicated and unpredictable ...

Cyclops is a parallel (distributed-memory) numerical library for multidimensional arrays (tensors) in C++ and Python. Quick documentation links: C++ and Python. Broadly, Cyclops provides tensor ...

The data must be protected from cyber-attacks that benefit from the weaknesses of the databases. Our traditional techniques are unstable. They are not strong enough to withstand the sophisticated and ...

The numerical solution of partial differential equations (PDEs) is essential in computational physics. Over the past few decades, various quantum-based methods have been developed to formulate and ...

The study of the geometric organization of biological tissues has a rich history in the literature. However, the geometry and architecture of individual cells within tissues has traditionally relied ...

Solving partial differential equations is computationally expensive, creating challenges for real-time physics simulations involving the wave equation in virtual acoustics—e.g., mixed reality, spatial ...

The given task was to implement the Jacobi method in several versions: a serial CPU function, an un-optimized CUDA kernel, and an optimized version of the CUDA kernel. The Jacobi method was ...

1 Physical/Theoretical Chemistry Research Group, Department of Pure and Applied Chemistry, University of Calabar, CRS, Calabar, Nigeria. 2 CAS Key Laboratory for Nanosystem and Hierarchical ...

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