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ORNL researchers developed SimuScan, an AI framework that uses realistic synthetic data to identify nanoscale features in atomic force microscope images. It can guide microscopes toward the most informative areas of a sample for closer study.
ORNL researchers developed two domestically sourced materials for Smith-Root’s environmental DNA samplers that are cheaper and meet or exceed performance requirements. The materials could improve filtration while reducing reliance on international suppliers.
ORNL researchers developed an algorithm to help utilities and planners choose locations for urban power generation and storage projects. The tool considers grid infrastructure alongside local policies, costs, community priorities and other real-world factors.
ORNL’s M2IND brought together more than 350 leaders from industry, government and research to address manufacturing challenges, including supply chains, workforce gaps and technology qualification. The forum also highlighted new partnerships and advanced manufacturing projects aimed at accelerating U.S. industrial deployment.
ORNL radiochemist Lætitia Delmau was elected a 2026 American Chemical Society Fellow for her contributions to radiochemical separations, actinide science, mentoring and service. She was also named an ACS Industrial and Engineering Chemistry Division Fellow for her research, leadership and professional service.
ORNL researchers measured how irradiation changes the mechanical properties of individual layers in HALEU TRISO fuel particles. The results will help improve fuel performance models and support advanced gas reactor development.
A broken rib from Scotty, the largest Tyrannosaurus rex skeleton discovered, is helping scientists uncover new information about life on Earth 66 million years ago. Using neutron imaging at ORNL, the scientists peered inside the fossilized bone to build 3D views without altering the preserved soft tissue.
Hundreds of students, educators and early-career researchers gained hands-on science and technology experience at ORNL this summer through programs designed to build pathways to STEM careers.
Researchers at ORNL and INL found that existing non-powered dams across the United States could generate as much as 15.2 terawatt-hours of electricity annually. The updated assessment uses improved data and modeling to help identify the most promising hydropower opportunities and provides new tools to support decision-making for policymakers, dam owners and researchers.
ORNL researchers developed an AI-guided system that autonomously arranges molecules to build functional materials atom by atom. The system created a 37-molecule artificial graphene lattice and confirmed that it behaved like graphene.