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 ...

Even though human experience unfolds continuously in time, it is not strictly linear; instead, it entails cascading processes building hierarchical cognitive structures. For instance, during speech ...

A lot of software developers are drawn to Python due to its vast collection of open-source libraries. Lately, there have been a lot of libraries cropping up in the realm of Machine Learning (ML) and ...

the true causal graph, for benchmarking causal discovery; 4000 rows of observational training data; 2000 rows of observational test data; interventional test data, for benchmarking estimation of ...

GPUs have become a household name in High Performance Computing (HPC) systems over the last 15 years. However, programming GPUs is still largely a manual and arduous task, which requires expert ...

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 ...

The DLR Thermofluid Stream Library is a free open-source library for the robust modeling of complex thermofluid architectures. Designed to be easy to use and easy to adapt and enriched by a number of ...

Let’s face it, robots are cool. They’re also going to run the world some day, and hopefully, at that time they will take pity on their poor soft fleshy creators (a.k.a. robotics developers) and help ...