Argonne is developing and applying AI technologies to enable the end-to-end control of large scientific instrumentation and facilities that will help address some of the most important scientific challenges facing the nation.

Argonne is shaping AI hardware to serve its science mission while advances in AI and machine learning enable computing at the edge.

Breakthroughs in AI use machine learning to address computer science challenges and spur development of AI-enabled software and computing environments.

Advances in technologies such as sensors, networks, and control systems — along with the rise of data analytics and AI — allow increasingly holistic approaches to manufacturing and grid engineering.

Argonne develops code and algorithms for simulations of Quantum Field Theory to probe the building blocks of nature.

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.

AI approaches will help improve our understanding and advance scientific discovery in Earth and environmental sciences.

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.

Our particle transport research focuses on enabling simulation of physical phenomena with higher fidelity than is currently possible.