Genesis Mission

Berkeley Lab is bringing a team science approach to the Department of Energy’s (DOE) Genesis Mission, which unites national labs, industry, academia, and more to harness artificial intelligence (AI) for breakthroughs in energy, discovery science, and national security. By leading AI projects that will reduce the time required to make scientific discoveries, the Lab is advancing solutions that will power America’s future.

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Autonomous Labs for Materials Discovery

Researchers will create AI systems that work with autonomous laboratories to design, perform, and learn from experiments, dramatically speeding materials discovery and scientific innovation.

Recovering Critical Minerals

Berkeley Lab scientists and partners will use AI to optimize recovery of critical minerals from copper, molybdenum, platinum, chrome, and nickel mineral deposits.

Accelerated Alloy Engineering

This project combines AI structure prediction, high-throughput synthesis, and advanced microscopy to accelerate the optimization and design of complex concentrated alloys for extreme environmental applications.

Quantum and Optoelectronic Materials Discovery

AI powered by physics simulations will model excited states to identify promising quantum and optoelectronic materials, accelerating discovery for future computing, sensing, and energy technologies.

Predicting Subsurface Fractures

Berkeley Lab scientists will combine AI and geophysical observations to improve prediction of subsurface fractures, advancing geothermal and other energy technologies.

Digital Twins for Fusion Magnet Systems

AI-enabled digital twins will establish a credible path toward the reliable operation of high-temperature superconducting magnets, enabling future compact magnetic confinement fusion power plants.

Precise Predictions of Water Supplies

Berkeley Lab scientists will develop an AI framework to jointly predict surface and groundwater dynamics nationwide, supporting energy and water security.

Meeting Water-Energy Demand

To predict water resources for energy infrastructure, Berkeley Lab scientists will use AI to develop a highly accurate prediction system for water availability.

Protecting U.S. Hydropower and Grid

ASPIRE will create an AI-driven workflow using DOE data to improve precipitation forecasting, securing U.S. hydropower generation and protecting critical grid infrastructure.

Unlocking Nuclear Archives

The HERALD project will build an AI platform to vet decades of secure government research, unlocking it for the commercial industry to accelerate nuclear innovation.

Safely Storing Nuclear Waste

Berkeley Lab scientists will develop AI-assisted 3D geological models that can effectively identify suitable sites for subsurface nuclear waste storage.

Nuclear Waste Repository Design

AI will enable a streamlined environment to analyze nuclear waste repository design — dissolving existing silos through a digital-twin approach.

Making DOE Codes Self-Service

The Agentic HPC Pipeline Initiative will build AI workflows that enable U.S. manufacturers to run powerful DOE research codes on commercial cloud platforms.

Our partnerships bring world-class research to bear on real world problems. If you’re interested in partnering on developing or deploying next-generation AI systems for science discovery and product innovation, learn how Berkeley Lab’s unique capabilities can accelerate your project’s success.

Ana Kupresanin, a person wearing a blue scarf and glasses.

"AI for science depends on connecting models with the data, infrastructure, facilities, and expertise that make them useful and trustworthy. Berkeley Lab can help make scientific data usable for AI, connect that data to advanced computing and experimental facilities, and support new workflows in which AI, experiments, simulations, and researchers work together."

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"As the scientific landscape shifts toward data-intensive, autonomous discovery, Berkeley Lab staff are ensuring American Science Cloud is built to solve the most complex challenges facing modern research. By integrating specialized high-performance computing from NERSC (and other DOE leadership computing facilities) with next-generation networking via ESnet, we are creating a seamless environment for data-driven research."

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"Berkeley Lab is leading ModCon’s BASE effort, which is rapidly standing up core AI capabilities that cut across many Genesis Mission teams…The Lab has also led data management best practices in many fields and delivered tools that address national priorities, such as through DOE’s Exascale Computing Project. Coupling this expertise with our excellent user facilities, Berkeley Lab is in an exceptional position to deliver ambitious scientific breakthroughs."

Multi-Office particle Accelerator Team

Three researchers in white coveralls and protective eyewear stand over equipment in a lab. A monitor with colorful figures is in the background.

Multi-Office particle Accelerator Team (MOAT) is putting AI to work alongside accelerator operators and designers. The end goal is a new generation of smarter, more efficient accelerators that can drive discoveries in materials, medicine, microelectronics, and the fundamental nature of our universe.

Orchestrated Platform for Autonomous Laboratories

Abstract illustration of microscopic cells combined with binary code

Orchestrated Platform for Autonomous Laboratories (OPAL) is a multi-laboratory effort to reinvent biological discovery through autonomous, AI-enabled research systems. OPAL is creating a connected network of laboratories, leading to faster workflows, smart experiments, and discoveries that move more quickly from the lab to real-world applications.

SYnergistic Neutron and Photon Science – Intelligence

Three researchers dressed in blue-colored office clothes analyzing microtomography computer images of an orange-colored material sample in a lab.

SYnergistic Neutron and Photon Science – Intelligence (SYNAPS-I) is a project that has brought together AI tools and state-of-the-art research techniques to accelerate discovery at scientific user facilities across the nation. Led by the Advanced Light Source at Berkeley Lab, the team is gathering insights to benefit energy technologies, manufacturing, agriculture, and more.

AI Models

Leveraging our team science heritage, we integrate deep expertise in math, computing, data sciences, and various scientific domains to develop pioneering AI models.

Science Applications

Developing novel AI applications to answer pivotal questions and expand the boundaries of knowledge for various scientific fields.

Data

Data is the lifeblood of AI. We are generating the data, processing the data, and building the curated data repositories that power scientific AI.

Computing / Infrastructure

Providing a robust HPC and networking infrastructure for AI training, data storage, and facilitating computing access for distant experimental facilities.