Argonne national laboratory is highlighting a broad set of recent activities in artificial intelligence that cut across high performance computing, materials research, education and infrastructure. The laboratory’s artificial intelligence news page brings together press releases, feature stories and research highlights that describe how artificial intelligence methods are being embedded into experimental workflows, supercomputing environments and real world engineering problems, while also underscoring Argonne’s long term initiatives and partnerships.
One major effort is a partnership with RIKEN, Fujitsu and NVIDIA that focuses on advancing artificial intelligence for science and next generation computing. The described collaboration concentrates on designing future computing architectures, automating experiments with artificial intelligence and integrating quantum computing with high performance computing systems. Argonne is also connecting its upgraded X ray source with leading supercomputers, with the article explaining that the Polaris, Frontier and Perlmutter supercomputers are joining forces with Argonne’s upgraded X ray source to transform how experiments are run. Related conference coverage notes that Argonne researchers will address challenges in artificial intelligence, data compression, big data and more at a joint supercomputing and high performance computing event in Japan, including contributions to HPCAsia 2026 on using artificial intelligence to accelerate scientific research and improve software development.
Beyond supercomputing, the page points to educational programs designed to inspire the next generation of STEM innovators, along with a feature on “vibe coding” tools that asks what might be possible if scientists could code as fast as they could think and suggests such tools could accelerate scientific discovery. A long running contribution to the ATLAS experiment at CERN is also emphasized, describing three decades of detecting, distributing and decoding the behavior of nature’s smallest components. A research highlight focuses on an artificial intelligence enabled digital twin for U.S. cities, summarizing a workshop at Argonne national laboratory that explores AI-driven urban planning and resilience through detailed simulations and data integration. Another press release describes a framework for smarter maintenance at nuclear power plants, where a study combines advanced simulations with real world testing to predict how feedwater heater tubes, which preheat water before entering a nuclear reactor, break down over time, illustrating how artificial intelligence and computational tools are being applied to critical energy infrastructure.
