In Python Physics Lesson 24, we explore the simulation of a dipole electric field! Learn how to model electric fields using Python, visualize field lines, and understand the principles of dipole ...

In Python Physics Lesson 14, we explore the simulation of elastic collisions and springs! Learn how to model collisions, spring dynamics, and energy transfer using Python, with step-by-step coding and ...

Massive compute capabilities enable a whole new way of manipulating and using data, and a potential bonanza for AI data ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Scientists have long seen a puzzling pattern in tokamaks, the doughnut-shaped machines that could one day reliably generate electricity from fusing atoms. When plasma particles escape the core of the ...

The open Battery Data Format standard for battery testing data enables researchers, designers, and manufacturers, as well as ...

Superconducting quantum design has called for specialised expertise working with mostly improvised design tools within a homegrown workflow ...

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...

Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning ...

The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...