AI techniques applied to physics can enhance our understanding the basic components of matter, help reveal the nature of space and time, and enable the design of successful fusion power plants.
Advances in data analysis, machine learning, and new hardware architectures will enable precise modification and control of biological and environmental systems.
Al will become an integral part of a scientist’s toolbox, revolutionizing discovery of materials and chemicals and unraveling complex interactions and the behaviors they govern in materials and chemical systems.
The LANS group provides a hub for Argonne computing activities in computational mathematics, data-driven methods, numerical analysis, numerical libraries, and optimization.