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 ...

This code displays a colorful Julia Fractal. It uses the kandinsky and math modules. This code displays a text output of the Mandelbrot fractal. The text is colored, to achieve this the kandinsky ...

This research investigates the dynamic behavior of unsteady squeezing flow involving a non-Newtonian nanofluid permeating through a porous medium confined between two parallel plates, with particular ...

Numerov’s numerical method is developed in a didactic way by using Python in its Jupyter Notebook version 6.0.3 for three different quantum physical systems: the hydrogen atom, a molecule governed by ...

After countless (literally) weekend hours, I'm excited to share PathSim - an open-source framework for engineers and researchers who want to simulate complex dynamical systems in Python. PathSim ...

Condensation trails (contrails) are cirrus clouds that form when water vapor in cold humid air at high altitudes, condenses onto soot particles emitted from aircraft engines. Like other cirrus clouds, ...

This important work presents a novel approach to infer causal relations in non-stationary time series data. To do so, the authors introduce a novel machine-learning model of Temporal Autoencoders for ...

Solving Ordinary Differential Equations (ODEs) lies at the core of modeling dynamic systems in engineering. From predicting chemical reactions to simulating mechanical oscillations, numerical ...

This study uses experimentally calibrated biophysical modelling and analysis to predict the influence of axonal action potentials on neighbouring membranes. A solid analysis predicts that annihilating ...

CyRK provides fast integration tools to solve systems of ODEs using an adaptive time stepping scheme. CyRK can accept differential equations that are written in pure Python, njited numba, or ...