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Particle Physics Panel assesses US influence on global stage

    A new report from the High Energy Physics Advisory Panel has come out stressing the importance of international collaboration in particle physics research. The report is part of a series of “international benchmarking” studies commissioned by the Department of Energy’s Office of Science with the HEPAP subcommittee chaired by Fermilab scientists Patricia McBride and Bonnie Fleming.

    Who cares about quantum?

      From DOE Office of Science, Feb. 22, 2023: DOE’s podcast Direct Current launches its new season by talking with national lab quantum scientists Anna Grassellino and David Awschalom about their brain-bending research, the massive impacts it could have on our lives and the joy and frustration of chasing breakthroughs that can take decades to arrive.

      Fermilab receives Inflation Reduction Act funding

      The U.S. Department of Energy allocated funds to its 17 national laboratories from the Inflation Reduction Act to mitigate the rise of project costs as a result of inflation. Fermilab will spend the funding on the lab’s on-going construction projects. This will allow the lab’s major projects to uphold their schedules and keep their commitment to international collaborators.

      Meet Josh Cassada, Crew-5 pilot

        From NASA: Meet particle physicist, former Fermilab user and U.S. Navy combat pilot Josh Cassada. As pilot of NASA’s SpaceX Crew-5 mission, Cassada is making his first trip as an astronaut to the International Space Station. Learn more about his love of science and his journey to becoming an astronaut.

        DOE announces $6.4 million for artificial intelligence research in high energy physics

          From the DOE Office of Science, October 6, 2022: Fermilab will receive part of the $6.4 million in funding for artificial intelligence research for high energy physics as announced by the Department of Energy Office of Science. Fermilab principal investigator, Jennifer Ngadiuba received the grant for the project, “Designing Efficient Edge AI with Physics Phenomena.”