Data Science

  • Harvesting the critical minerals future featured image

    Harvesting the critical minerals future

    Click here for static version. What if one answer to the supply crisis isn’t buried in a mine shaft, but growing quietly in a field? For too long, the United States has relied on foreign sources for most of the raw materials powering its technological future, the essential minerals in every smartphone, battery pack and

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  • ORNL earns record 22 R&D 100 Awards featured image

    ORNL earns record 22 R&D 100 Awards

    ORNL earned a new lab record with 22 R&D 100 Awards in 2026 for technologies that advance energy, manufacturing, computing, biotechnology and other fields. ORNL led 18 of the winning technologies and contributed to four additional award-winning projects led by partner institutions.

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  • Physicist builds tools to see quantum matter more clearly featured image

    Physicist builds tools to see quantum matter more clearly

    John Lajoie, a physicist at ORNL, develops advanced particle detectors that help scientists study the fundamental structure of matter while often enabling innovations in other scientific fields. As spokesperson for the ePIC Collaboration, he is helping design the detector for the future Electron-Ion Collider, which will use cutting-edge detector technology, streaming data, and AI to explore how quarks and gluons shape protons, neutrons, and nuclear matter.

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  • Mengjun Shu, an R&D Associate Staff Member in ORNL's Biosciences Division, stands among greenhouse-grown poplar trees at the Advanced Plant Phenotyping Laboratory while examining plant growth and development.

    Mengjun Shu: Mapping tree resilience with AI, biological data

    Mengjun Shu, a scientist at Oak Ridge National Laboratory, uses big data, statistical modeling and artificial intelligence to study how trees respond to environmental stress and identify traits that can improve biomass crops such as poplar. Her research combines genetics, plant imaging and microbial studies to advance biotechnology for U.S. manufacturing and agriculture while helping scientists better understand tree resilience.

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  • Q&A: Maria Mahbub on AI trustworthiness featured image

    Q&A: Maria Mahbub on AI trustworthiness

    Maria Mahbub, an ORNL research associate, develops trustworthy AI methods for healthcare, national security and drone detection, with a focus on improving AI reliability and robustness. Her work combines machine learning with domain expertise to help ensure AI systems perform accurately and reliably in real-world applications.

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  • Streamlining ARM data access with AI-ready infrastructure featured image

    Streamlining ARM data access with AI-ready infrastructure

    ARM is modernizing its data center with AI-ready computing, storage, and software infrastructure to make its 30+ years of atmospheric data easier and faster for researchers to access and analyze. Key initiatives include the new AI-powered ARM Data Advisor (ADA) for conversational data discovery and the ATLAS framework, which enables secure, agent-based AI tools that automate workflows while maintaining scientific integrity and transparency.

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  • Robert Stewart: Mapping risk, advancing human security featured image

    Robert Stewart: Mapping risk, advancing human security

    Robert Stewart turned a childhood fascination with maps and computers into a career at ORNL developing geospatial and AI tools for environmental cleanup and human security. His work has influenced nuclear remediation practices and supported efforts credited with saving lives. Today, he focuses on mentoring future scientists and advancing data-driven research at ORNL.

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