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The Energy Department's Science Office is seeking to integrate artificial intelligence into its nuclear accelerators. This initiative aims to enhance control and efficiency in advanced accelerator operations, significantly reducing the time required for experiments. The solicitation emphasizes the use of AI in digital twins and autonomous control to facilitate scientific discovery.
With an estimated budget of $22 million, the funding will support the development of AI applications for optimizing accelerator and detector operations. The focus is on leveraging AI and machine learning to advance nuclear physics computations and improve the functionality of next-generation accelerator facilities. Interested parties must submit letters of intent by November, with final applications due by January 14.
• Energy Department seeks AI applications for nuclear accelerator control.
• Funding of $22 million allocated for AI-driven scientific advancements.
Artificial intelligence is being utilized to enhance control and efficiency in nuclear accelerators.
Digital twins are employed to derive insights from larger datasets in scientific research.
Autonomous control aims to optimize the operation of accelerators and detectors in nuclear physics.
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