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Scientists designed a state-of-the-art detector to electronically tune itself, enabling scientists to search broader frequency ranges for evidence of weak signals produced by dark photons — possible dark matter particles — much faster and more precisely than ever before.

Aleksandra Ćiprijanović will use artificial intelligence to solve the domain shift problem in high-energy physics research. Fermilab’s computing capabilities make it uniquely positioned to support this project.

The CMS experiment at CERN is building a new detector that will unravel the chaotic particle collisions at the Large Hadron Collider, helping scientists identify particles based on their speeds.

The Genesis Mission is leveraging the strength of the U.S. Department of Energy’s 17 national laboratories, including Fermilab, alongside American research universities and industry partners. The collaborative effort aims to supercharge innovation by integrating the transformative power of artificial intelligence across the national research landscape.

The Deep Underground Neutrino Experiment collaboration announced that a new spokesperson was elected to co-lead the largest neutrino experiment in the U.S. DUNE is at a pivotal time in the development of the massive far detectors and the build-out of the underground space in South Dakota.

Fermilab has contributed vital components to the SuperCDMS experiment, located deep underground in a nickel mine outside of Sudbury, Canada.

During an event at the British Embassy in Washington, D.C., officials honored the successful collaboration between the United States and United Kingdom for building the PIP-II particle accelerator at Fermilab. The powerful new accelerator will be used to send a beam of neutrinos through the Earth for the Deep Underground Neutrino Experiment.

The intensive program trains the next generation of researchers in advanced particle physics, data analysis and agentic artificial intelligence.

In a pioneering study at an underground laboratory at Fermilab, scientists measured bursts of charge across multiple superconducting qubits. Their work advances understanding of how background noise impacts qubits while contributing to the development of more precise sensors to discover new physics phenomena and more fault-tolerant quantum computers.