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ORNL received more than $5 million from DOE;s Technology Commercialization Fund to advance research in grid security, artificial intelligence, nuclear energy and advanced manufacturing, helping move lab innovations toward industry use.
SNS celebrates 20 years of scientific achievements enabled by safe, reliable operations driven by its target system. Since coming online in 2006, SNS has celebrated many milestones, including being the first to successfully incorporate a liquid mercury target. This feature discusses the plans to incorporate artificial intelligence to support the target as well as what is next for the second target station.
Yongtao Liu is an R&D staff member at Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences (CNMS). In the Data NanoAnalytics Group, he is helping nanomaterials research move toward experiments that can run with far less handholding.
Researchers at ORNL will share their discoveries and innovations at DOE’s Advanced Research Projects Agency-Energy Energy Innovation Summit in San Diego, California.
Jennifer Morrell-Falvey, a senior staff scientist at ORNL, has been elected as a fellow of the American Association for the Advancement of Science, or AAAS, one of the world’s largest general scientific societies and publisher
AI is transforming polymer research by integrating computational modeling with high-throughput automated experimentation, as highlighted by ORNL’s Rigoberto Advincula in a recent National Academy of Engineering webinar. These AI-driven autonomous laboratories, capable of real-time decision-making and adaptive optimization, are accelerating materials discovery, experimental design and innovations in synthesis and catalysis.
ORNL researchers have developed Photon, a framework that accelerates the discovery of vulnerabilities in artificial intelligence models by scaling testing across the Frontier exascale supercomputer. The system uses coordinated, automated attack strategies to identify and refine weaknesses in AI models, helping improve their security and reliability in critical applications.
Researchers at ORNL are pushing the boundaries of science by combining artificial intelligence, automation and leading-edge imaging technology in a push toward autonomous experimentation. By leveraging the strengths of each of these elements in coordination with human intuition, they hope to create autonomous workflows that enhance researchers’ abilities to answer some of the toughest questions in science.
ORNL is advancing cancer treatment by developing medical radioisotopes and leading research to improve targeted alpha therapies and theranostics. Researchers are designing advanced chelators and nanoparticles while using artificial intelligence and quantum simulations to better understand radioisotope behavior.
Industry leaders met at ORNL to discuss research and technology pathways for securely integrating AI data centers with the electric grid. The workshop focused on grid integration, power systems, supply chains and security.