Building an elastic collision simulator with springs in Python to model realistic physics interactions and dynamic object collisions. Learn how to implement spring forces, momentum conservation, and ...

In Python Physics #22, we bring electric fields of a point charge to life with interactive Python simulations. Learn how to visualize field lines, understand the direction and magnitude of the ...

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

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

Ever had an idea for something that looked cool, but wouldn't work well in practice? When it comes to designing things like ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

In the everyday world, governed by classical physics, the concept of equilibrium reigns. If you put a drop of ink into water, ...

Quantum computer research is advancing at a rapid pace. Today's devices, however, still have significant limitations: For example, the length of a quantum computation is severely limited—that is, the ...

2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...

Respiratory supercomplex formation relieves molecular strain of mitochondrial membranes and reshapes global protein motions, linking membrane reorganization to respiratory function.

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

Physical AI refers to intelligent systems that can sense, reason, and act inside the physical world. These systems do not remain limited to screens, servers, or digital spaces. Instead, they operate ...