The Company's High-Fidelity Multi-Body Dynamics Solver Targets the Data Quality Bottleneck at the Core of Robot Learning - ...

Shaping up: A new machine learning algorithm helps physicists reconstruct the shapes of particle accelerator beams from tiny amounts of training data. (Courtesy: Greg Steward/SLAC National Accelerator ...

Analogue interaction Illustration of how an impurity atom may gradually evolve into a quasiparticle by interacting with a surrounding medium. This mechanism is similar to how an electron can distort a ...

Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that achieves state-of-the-art results without encoding traditional physical constraints ...

Vortex is a natural fluid phenomenon that is often of great consequence in almost any practical flow, such as shear layers, ...

Medical physics is moving beyond theory, finding its way into hands-on healthcare training. Innovative programs are blending physics with clinical practice to better prepare future medical ...