Scattering Amplitude

Scattering amplitudes, mathematical expressions describing particle interactions, are central to high-energy physics, but their complexity hinders calculations. Current research focuses on leveraging machine learning, particularly transformer networks, to simplify and efficiently compute these amplitudes, achieving high accuracy in predicting coefficients and even generating compact analytical expressions. This accelerates simulations, improves precision in collider experiments, and offers faster methods for analyzing complex physical systems, such as resonant orbital dynamics. The resulting advancements promise significant improvements in theoretical physics and related fields.