Argonne National Laboratory

Feature Stories

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Three-dimensional view of a magnitude 7.9 earthquake on the Southern San Andreas Fault from an RSQSim simulation. Colors indicate elements that slipped in the earthquake, brighter colors show areas of higher slip. Faults that did not participate in this event are shown in gray. This simulated event is similar in size and location to the 1857 Fort Tejon Earthquake. (Image by University of Southern California / Kevin Milner.)
Shake rattle and code

Tom Jordan and a team from the Southern California Earthquake Center (SCEC) are using the supercomputing resources of the Argonne Leadership Computing Facility (ALCF), a U.S. Department of Energy Office of Science User Facility, to advance modeling for the study of earthquake risk and how to reduce it.

May 1, 2018
Researcher Kevin Beyer explained the nuances of Argonne’s Advanced Photon Source to two Aqsa students. Along with 14 other schools, the Aqsa students took part in Argonne’s Exemplary Student Research Program in February. (Image by Argonne National Laboratory.)
Argonne’s Exemplary Student Research Program inspires girls to join the sciences

Now in its seventh year, this educational program encourages high school students to work with Argonne scientists. In 2018, students from Aqsa School investigated lithium-ion batteries at Argonne’s Advanced Photon Source.

April 27, 2018
Argonne chemists Ted Krause and Max Delferro (pictured) focus much of their work on single-site catalysts because of the promise they show for both high activity and product selectivity. Their work has led to several U.S. patent applications. (Image by Argonne National Laboratory.)
Cracking the catalytic code

In a variety of research programs, Argonne experts are finding ways to make cheaper and more efficient the manufacture of products derived from shale gas deposits and identifying new routes to higher-performance.

April 24, 2018
Argonne scientists are helping to solve the challenge of hypersonic flight by unraveling the complexities of combustion, which will propel aircraft to those speeds. (Image by Shutterstock / Andrey Yurlov.)
Going with the hypersonic flow

Argonne researcher Alan Kastengren is using X-rays to delve deeply into complexity challenges related to supersonic combustion in hypersonic vehicles, one of the most complex flow problems in science. Working through Argonne’s Advanced Photon Source and National Security Programs, he is helping clients like the Air Force Research Laboratory improve performance of the scramjet combustors that power hypersonic jets.

April 23, 2018
Scientists from Argonne National Laboratory and Fermi National Accelerator Laboratory, along with collaborators from over 25 other institutions, are recreating a previous experiment with much higher precision. The original experiment measured the spin precession of the muon — i.e., the speed at which its spin changes direction — to be different from the theoretical predictions. With this one, scientists plan to confirm or disprove the earlier results. (Image by Fermi National Accelerator Laboratory / Reidar Hahn.)
Muons spin tales of undiscovered particles

U.S. Department of Energy (DOE) scientists are collaborating to test a magnetic property of the muon. The experiment could point to the existence of physics beyond our current understanding, including undiscovered particles.

April 19, 2018
Argonne nanoscientist Xiao-Min Lin works with the shear cell device that enabled the new discovery in shear-thickening fluids. The polycarbonate cell holds the nanoparticle suspension and the mechanical response of the fluid is measured by the transducer in the rheometer above. The X-ray beam is focused on the sample from the left. (Image by Argonne National Laboratory.)
Through thick and thin

Researchers solve a decades-old question: Is particle ordering responsible for the thickening of some industrial products when stirred rapidly? The answer brings us one step closer to solving complex industrial production problems.

April 13, 2018
Machine learning techniques can help organizations reduce design time from months to days and slash development costs. (Image by Shutterstock / Photo_works.)
Argonne’s next top model

Designing and manufacturing a new part or product, such as a car engine or wind turbine, can be time-consuming and costly. To combat limitations on these processes, scientists and engineers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory are using cutting-edge machine learning techniques to help organizations reduce design time from months to days and slash development costs.

April 13, 2018
CNH Industrial’s Hui Deng inspects the team’s cars during the design stage of the annual Electric Car Competition, co-sponsored by Argonne and CNH Industrial. Judges scored each middle-school entry based on technology, innovation, craftsmanship, team knowledge and documentation. (Image by Argonne National Laboratory.)
The race for young scientific minds

Argonne partners with CNH Industrial to test the competitive nature of budding engineers as they design, build and race their own electric cars.

April 12, 2018
Lewis University bested 24 other university teams nationwide this past weekend during the U.S. Department of Energy’s Cyber Defense Competition. (Image by Argonne National Laboratory.)
Lewis University wins the Department of Energy Cyber Defense Competition

Lewis University wins the 2018 DOE Cyber Defense Competition.

April 10, 2018
Academic researchers look to Argonne’s Mira supercomputer to better understand boiling phenomena, bubble formation and two-phase bubbly flow inside nuclear reactors. (Image courtesy of Igor Bolotnov / North Carolina State University.)
Tiny bubbles

Bubbles are a linchpin of nuclear engineering, helping to explain the natural world, predict safety issues and improve the operation of the existing and next-generation nuclear fleet. High-performance supercomputers like Mira, located at Argonne, are helping researchers understand the phenomena of bubbling behavior more quickly.

April 4, 2018