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Old Dominion University Chosen for Two Federal Genesis Mission Grants to Promote AI in Scientific Research

Old Dominion University (ODU) researchers have initiated two projects under the U.S. Department of Energy’s Genesis Mission, aimed at enhancing scientific discovery through artificial intelligence (AI). This initiative emphasizes that AI will not replace scientists but will assist them in asking better questions, solving complex problems, and deriving reliable answers more rapidly.

Key Highlights:

  1. Collaboration with National Laboratories:

    • ODU is working with partners like the Thomas Jefferson National Accelerator Facility and Pacific Northwest National Laboratory.
  2. Project Objectives:

    • Efficiency in Research Facilities: The first project will develop a digital twin of particle injectors to help scientists optimize operations and reduce time in equipment tuning.
    • Trust in AI Outputs: The second project will focus on cybersecurity measures to detect potential manipulations or inconsistencies in AI-assisted results.
  3. AI Applications:

    • Digital Twin Technology: This virtual model will simulate the behavior of real-world equipment, enabling scientists to experiment with settings without the need for physical adjustments, thus improving experimental conditions and productivity.
    • Cybersecurity for Research: This project will integrate AI with physics principles to identify manipulated data or compromised AI models, ensuring the integrity of scientific research.
  4. Interdisciplinary Approach:

    • The research involves collaboration across multiple departments, fostering a multidisciplinary environment that enhances AI’s capabilities in scientific contexts.
  5. Broader Impact:

    • These projects aim to bolster Virginia’s reputation as a leader in research and innovation while also contributing to national scientific endeavors.

In conclusion, ODU aims to harness AI for scientific advancement while maintaining the reliability and security of research outputs. The initiative embodies a forward-thinking approach to integrating technology into complex scientific fields.

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