Scientists from the University of Manchester have played a leading role in the discovery of a new subatomic particle at CERN’s Large Hadron Collider (LHC). The particle, known as the Ξ_cc⁺ (Xi‑cc‑plus), is a new type of heavy proton-like particle containing two charm quarks and one down quark.

Electrochemical capacitors, often called supercapacitors, are the sprinters of the energy world. They charge instantly and deliver massive bursts of power on demand. The trade-off, however, is their lack of endurance: they cannot store much total energy, and they tend to leak their charge quickly when sitting idle. While engineers know that cranking up the operating voltage could solve the energy density problem, doing so almost always causes the internal chemical bath (the electrolyte) to break down and fail.

Researchers at Rice University recently convened an international group of scientists to explore how artificial intelligence and machine learning could transform one of the world’s most ambitious physics experiments: the Deep Underground Neutrino Experiment (DUNE). Held March 10-12 at Rice’s BioScience Research Collaborative, the three-day workshop brought together researchers from universities, national laboratories and international partners to discuss how the experiment’s software and computing infrastructure can better support the growing role of AI and machine learning. The event was organized by DUNE’s AI/ML Forum and Core Software and Computing Consortium and was partially supported by the Rice Creative Ventures Fund.