Visionary report unveils ambitious roadmap to harness the power of AI in scientific discovery

press release
Graphcore Bow Pod64

The ALCF AI Testbed's Graphcore Bow Pod64 system. (Image by Argonne National Laboratory)

Over 1,000 scientists, engineers and staff from U.S. Department of Energy national labs, academia, and technology companies discussed the rapidly emerging opportunities and challenges of artificial intelligence for science, energy and security.

Innovations in artificial intelligence (AI) are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing. Seizing on the potential of AI to transform science, the nation’s leading experts in science and technology have released a blueprint for the United States to accelerate progress by expanding its capabilities in AI and big data analysis.

“AI for Science, Energy, and Security” lays out a comprehensive vision for the U.S. Department of Energy (DOE) to expand its work in scientific use of AI by building on its existing strengths in world-leading high performance computing systems and data infrastructure.

The report is the product of a series of workshops held in 2022 under the guidance of DOE’s Office of Science and the National Nuclear Security Administration. The sessions brought together over 1,000 scientists, engineers and staff from DOE labs, academia, and technology companies to talk about the rapidly emerging opportunities and challenges of scientific AI.

AI For Science Graphic

Image by Argonne National Laboratory.

The report describes scientific ​“grand challenges” where AI plays a major role in making progress toward solutions. These include improved climate models, the search for new quantum materials, new nuclear reactor designs for clean energy and more.

DOE is uniquely positioned to extend the United States’ global leadership in science, energy and security, the report notes. DOE operates the world’s most powerful supercomputers including the new exascale systems Frontier, Aurora and El Capitan, encompasses the world’s largest collection of experimental facilities and employs over 50,000 people at its 17 national laboratories.

Six DOE national laboratories led the AI workshop series and resulting report: Argonne, Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, Los Alamos National Laboratory, Oak Ridge National Laboratory and Sandia National Laboratories.

The report is available at anl​.gov/​a​i​-​f​o​r​-​s​c​i​e​n​c​e​-​r​eport.

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The Argonne Leadership Computing Facility provides supercomputing capabilities to the scientific and engineering community to advance fundamental discovery and understanding in a broad range of disciplines. Supported by the U.S. Department of Energy’s (DOE’s) Office of Science, Advanced Scientific Computing Research (ASCR) program, the ALCF is one of two DOE Leadership Computing Facilities in the nation dedicated to open science.

Argonne National Laboratory seeks solutions to pressing national problems in science and technology. The nation's first national laboratory, Argonne conducts leading-edge basic and applied scientific research in virtually every scientific discipline. Argonne researchers work closely with researchers from hundreds of companies, universities, and federal, state and municipal agencies to help them solve their specific problems, advance America's scientific leadership and prepare the nation for a better future. With employees from more than 60 nations, Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy's Office of Science.

The U.S. Department of Energy's Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit https://energy.gov/science