Research in Physics Theory is leveraging AI to understand the theoretical underpinning of fundamental physics, including:
- nuclear/particle physics,
- quantum field theory and string theory, and
- quantum many-body physics.
Projects in AI for Theoretical Physics utilize AI tools and techniques to enable physics discovery through the acceleration of theoretical physics calculations. In turn, the advances made in this domain also contribute to advancing AI—researchers are not simply using existing AI tools and techniques as they are, but are building on those tools and developing new tools, which can have applications beyond AI. Researchers working in this domain are developing AI to solve problems related to the detection of subhalos, quantum many-body physics, simulation-based inference, lattice quantum field theory, dark matter searches, and knot theory, to name a few.