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 ...

Pytearcat is an open-source Python package created to work with general tensor operations, either in the field of General Relativity (GR) or others that need to use tensor calculus. It provides the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Free-energy perturbation (FEP) calculations have emerged as a promising tool for the ...

Python code for analysing steel dilatometer curves. Functions for the code are found in "dilatometry_ts_calculator.py" and include: 'dilatometry_curve_plotter' for ...

Physics-Informed Neural Networks (PINN) emerged as a powerful tool for solving scientific computing problems, ranging from the solution of Partial Differential Equations to data assimilation tasks.

Physics-Informed Neural Networks (PINN) are neural networks encoding the problem governing equations, such as Partial Differential Equations (PDE), as a part of the neural network. PINNs have emerged ...

Parasitic plants like witchweed cause huge losses in crop yield in Africa. A key part to the success of witchweed is to start its life cycle upon sensing small molecules called strigolactones, which ...