Through advanced computation, network facilities, and data integration, Berkeley Lab supports the Department of Energy’s Genesis Mission, a historic national effort to build the world’s most powerful scientific platform to accelerate discovery, strengthen national security, and drive energy innovation.

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

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

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

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

Supporting DOE’s Genesis Mission

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Berkeley Lab supports DOE’s Genesis Mission by leveraging decades of research in high performance computing, expertise in managing large datasets, and pioneering AI models across many science domains.

National Energy Research Scientific Computing Center (NERSC)

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NERSC provides computational and data resources and expertise for scalable, powerful, and easy-to-use AI/ML in scientific computing.

Energy Sciences Network (ESnet)

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ESnet provides the high-speed, reliable, and secure network connections needed for efficient collaboration and processing of large datasets essential for scientific AI research, while also exploring how AI/ML models can improve network operations.

Center for Advanced Mathematics for Energy Research Applications (CAMERA)

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CAMERA advances AI research for science by creating advanced mathematical algorithms and tools for data analysis, modeling, simulation, and automated experiments.

Joint Genome Institute (JGI)

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The JGI provides advanced genomic capabilities, large-scale AI-ready data and professional expertise to support the global research community in studies of complex biological and environmental systems.

Automated Labs

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Berkeley Lab researchers are developing automated labs that use robots guided by artificial intelligence to advance science. A-Lab, which accelerates materials discovery, is one example.

Data Collaboratives

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AI is fueled by data. Berkeley Lab curates and stores huge scientific datasets in areas such as materials, environment, biology, genomics, and physics.

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Berkeley Lab scientists leverage AI to make transformative discoveries across our science domains. Our scientists also develop foundational and robust AI methods that are consistent with physical laws and capable of being interpreted in scientifically meaningful ways.

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

"Our collaborative approach to science and cutting-edge facilities empowers us to push the boundaries of what's possible in AI-driven science."

Jean-Luc Van

"We’re making intelligent AI tools that speed up discoveries particle accelerators can make in key applications like fission and fusion energy, advanced materials, fundamental physics, and medicine."

Alex Hememer

"We're building an AI-platform to accelerate discoveries essential to microelectronics, biomedical development, advanced manufacturing, and energy security."

Kristin Persson, a brown-haired person wearing a black dress, points at her electrolyte genome 3D visualizations. Kristin Persson, a person with medium-length dark blonde hair wearing a black top with silver earrings, smiling.

The open-access materials database managed by Berkeley Lab has surpassed 650,000 registered users, enabling AI-ready scientific datasets at an unprecedented scale for batteries, quantum computing, microelectronics, and more.

At Berkeley Lab, we’re accelerating the pace of science. Our teams and facilities are powering a new era of discovery, combining artificial intelligence, automation, and advanced data processing into integrated systems of rapid discovery.

From robotic labs that rapidly test new materials to AI-optimized lasers and supercomputers that analyze experimental data in real time, we are fast-tracking breakthroughs for an abundant and reliable energy future.

Our integrated approach is advancing the scientific enterprise across the nation, transforming the speed of discoveries and the way science gets done. These capabilities are critical in enabling the United States to compete in a global race for innovation powered by artificial intelligence.

Foundational AI Models to Accelerate Biological Discovery

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How a Machine Learning Pipeline Could Accelerate Innovation

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AI for Smarter, More Powerful, More Efficient Particle Accelerators

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Emerging Ideas

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Frontier Computing Sciences

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Emerging Capabilities

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