Innovation and Competitiveness

Rick Stevens, Director of the Math and Computer Science Division at Argonne National Laboratory, speaks about the impact the DOE Office of Science has on AI Research and Innovation.

Video courtesy of Argonne National Laboratory

The Office of Science has invested in Artificial Intelligence (AI) research for decades as an inherent tool for advancing fundamental science. Today, targeted investments in AI projects across the Office of Science (SC) aim to create leadership class AI systems to solve a wide range of challenging science and engineering problems across the DOE mission space.

The Office of Science partners with industry to advance AI research and technology. Through partnerships that range from enabling joint research and development (R&D) projects, to providing Scientific User Facility access to Cooperative Research and Development Agreements (CRADAs) and Small Business Innovation Research/Small Business Technology Transfer (SBIR/STTR) awards; SC and the National Laboratories accelerate innovation and advance U.S. competitiveness in companies large and small across the Nation.

These activities build on the strengths of the DOE’s research portfolio and National Laboratories to advance AI, support science and engineering, and create new world leading scientific capabilities. See what Rick Arthur of GE Research has to say about how the Office of Science has pushed innovation.


U.S. Manufactures

“This sort of public-private partnership allowed us to bring together the best minds across the fields of computational science and wind energy and leverage world-class modeling and simulation tools and computational infrastructure. Such a collaboration is transformative, enabling not only insight into hidden potential problems but also consequent and viable solutions. The amplified power of this interdisciplinary, cross-industry collaboration cannot be overstated.".

- Rick Arthur, director of computing at GE Research.
Linked to this story ,this story ,and this  video:

“There’s also work now on multiscale modeling of lithium-ion batteries and then, ultimately, it will go beyond that to lithium-metal batteries, and this is where the computational capability is extremely important. If you want to be able to do these multiphysics, multiscale models that are very, very computationally intensive, you need to have that power that resides in the national labs.” 

- Paul Krajewski – director of vehicle systems research for GM’s research and development center. 
Linked story: and video:

Chip Manufacturers

“The Frontier supercomputer is the culmination of a strong collaboration between AMD, HPE and the U.S. Department of Energy to provide an exascale-capable system that pushes the boundaries of scientific discovery by dramatically enhancing performance of artificial intelligence, analytics, and simulation at scale.” 

- Thomas Zacharia, director, Oak Ridge National Laboratory. 

“NVIDIA has been researching and developing faster, more efficient GPUs for high performance computing (HPC) for more than a decade. This is our sixth DOE research and development contract, which will help accelerate our efforts to develop highly efficient throughput computing technologies to ensure U.S. leadership in HPC. Our R&D will focus on critical areas including energy-efficient GPU architectures and resilience. We’re particularly proud of the work we’ve been doing to help the DOE achieve exascale performance at a fraction of the power of traditional compute architectures.”

- Dr. Bill Dally, chief scientist and senior vice president of research, NVIDIA

“We saw [the problem of extensive time needed to train AI models] firsthand in the R&D world and built GURU specifically to solve it… “Summit has been a total game-changer for enabling us to discover the most data- and time-efficient methods to make setup for simulations doable for our customers.”

-Allan Grosvenor, CEO of Microsurgeonbot, or MSBAI, GURU’s creator
(HPC Wire)

A collaboration between the European Organization for Nuclear Research CERN), Micron, and the Department of Energy’s Fermi National Accelerator Laboratory (Fermilab) uses AI-powered tools for hunting neutrinos, which are similar to electrons but with no electric charge, almost zero mass, and rarely react with normal matter, making them especially hard to observe.

The DOE’s Argonne National Laboratory and Cerebras Systems partner to leverage the world fastest AI supercomputer to accelerate the search for Covid-19 life-saving treatments.


Parallel Works, Inc. is commercializing technology developed at Argonne National Laboratory and the University of Chicago to provide “supercomputing-as-a-service” to small and medium businesses, helping them to achieve economies of scale in managing the expanding volume of information and aiding the effort to “democratize high-performance computing”.

(American Machinist)