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Particle physics at home

DOE/Fermi National Accelerator Laboratory

Browse Fermilab's many online resources to dive into the wonderful world of particle physics.

US Department of Energy's INCITE program seeks proposals for 2021

DOE/Argonne National Laboratory

The INCITE program is now seeking proposals for high-impact, computationally intensive research projects that require the power and scale of DOE's leadership-class supercomputers.

Introducing Mauricio Suarez, Fermilab head of the Illinois Accelerator Research Center

DOE/Fermi National Accelerator Laboratory

Mauricio Suarez has been with Fermilab for only a few months, yet he has already taken full command promoting a key aspect of the lab's mission: to develop new technologies for science that support U.S. industrial competitiveness. As the person in charge of connecting Fermilab with industry partners, Suarez is leading the way for the lab to foster innovation and advance technologies for the benefit of society.

The cold eyes of DUNE

DOE/Fermi National Accelerator Laboratory

The upcoming Deep Underground Neutrino Experiment will be able to address one of the biggest unanswered questions in physics: Why is there more matter than antimatter? To do this, they'll send a beam of neutrinos 800 miles from Fermilab to Sanford Underground Neutrino Facility in South Dakota. Researchers at several DOE national laboratories, including Fermilab, are developing integrated electronic circuitry that can operate in DUNE's detectors at temperatures below minus 200 degrees Celsius.

Amanda Early, Fermilab education program leader, selected STEP UP ambassador

DOE/Fermi National Accelerator Laboratory

Amanda Early is one of 79 physics educators selected to be a STEP UP Program ambassador. STEP UP ambassadors are high school physics teachers that train others on how to effectively reduce barriers for women in physics. The program mobilizes thousands of teachers to help engage young women in physics and inspire them to pursue physics in college.

A step ahead in the race toward ultrafast imaging of single particles

DOE/Argonne National Laboratory
Peer-Reviewed Publication

New research from Argonne National Laboratory takes a step toward the 'holy grail' of imaging: the ability to see the structure of a single, free-form molecule at atomic resolution.

Journal: Nature Communications
Funder: the, the Eureopean Research Council, the Peter Paul Ewald Fellowship from the Volkswagen Foundation, Swedish Foundation for International Cooperation in Research and Higher Education, Swedish Research Council, the Knut and Alice Wallenberg Foundation

A unique heat storage technology gathers steam

DOE/Argonne National Laboratory

Many processes that generate electricity also produce heat, a potent energy resource that often goes untapped everywhere from factories to vehicles to power plants. An innovative system currently being developed at the U.S. Department of Energy's (DOE) Argonne National Laboratory can quickly store heat and release it for use when needed, surpassing conventional storage options in both flexibility and efficiency.

IMSA high school internship advances dune project and showcases unexplored potential of physics

DOE/Argonne National Laboratory

Argonne National Laboratory's Illinois Mathematics and Science Academy (IMSA) High School Internship Program has this year's exceptionally bright high school students working on the Deep Underground Neutrino Experiment (DUNE)'s world-changing research.

Preparing for exascale: Eliminating disruptions on the path to sustainable fusion energy

DOE/Argonne National Laboratory

With the world's most powerful path-to-exascale supercomputing resources at their disposal, William Tang and colleagues are combining computer muscle and AI to eliminate disruption of fusion reactions in the production of sustainable clean energy.

Capturing 3D microstructures in real time

DOE/Argonne National Laboratory
Peer-Reviewed Publication

Argonne researchers have invented a machine-learning based algorithm for quantitatively characterizing material microstructure in three dimensions and in real time. This algorithm applies to most structural materials of interest to industry.

Journal: npj Computational Materials