• AI for Smarter, More Powerful, More Efficient Particle Accelerators Article AI Particle accelerators are powerful tools that have revolutionized research in physics, chemistry, materials science, and biology, and have been adopted for applications that improve medicine, national security, and manufacturing. • The Multi-Office particle Accelerator Team (MOAT) will deploy artificial intelligence tools to optimize and transform how accelerators are designed and run, making them more efficient and impactful. • The effort is part of theGenesis Mission, a new national initiative led by the Department of Energy to advance AI and accelerate discovery, providing solutions for challenges in science, energy, and national security. • A cornerstone of the Genesis Mission is the Transformational AI Models Consortium (ModCon), which will build and deploy self-improving AI models by harnessing DOE’s unique data, facilities, and expertise. • MOAT is one of three AI model teams that Lawrence Berkeley National Laboratory (Berkeley Lab) leads or plays a key role in, building onAI expertisein high-performance computing, managing large datasets, and pioneering AI models in partnership with industry. • The project will take advantage of troves of experimental data, simulations, and expertise from across the DOE Office of Science’s accelerators and light sources, which account for half of the agency’s user facilities.
Article Summaries:
- Particle accelerators are powerful tools that have revolutionized research in physics, chemistry, materials science, and biology, and have been adopted for applications that improve medicine, national security, and manufacturing. The Multi-Office particle Accelerator Team (MOAT) will deploy artificial intelligence tools to optimize and transform how accelerators are designed and run, making them more efficient and impactful. The effort is part of the Genesis Mission, a new national initiative led by the Department of Energy to advance AI and accelerate discovery, providing solutions for challe
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