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The new method could be the key to designing more efficient batteries for specific uses, like electric cars and airplanes.

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Scientists using a unique combination of capabilities at the Advanced Photon Source have learned more about how meteorites affect one of the most abundant materials in the Earth’s crust.

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The research described in the winning paper is focused on using a high-performance, iterative reconstruction system for noninvasive imaging at synchrotron facilities.

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After a tough, day-long contest, Seth Manesse from Utah State University won the sixth CyberForce Competition.

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Using a combination of AI and supercomputing resources, Argonne researchers are examining the dynamics of the SARS-CoV-2 spike protein to determine how it fuses with the human host cell, advancing the search for drug treatments.

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Argonne National Laboratory and SLAC National Accelerator Laboratory will receive $4.5 million over three years for research aimed at capturing carbon dioxide directly from air and converting it to useful products by artificial photosynthesis.

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Creating nanomaterials with flame spray pyrolysis is complex, but scientists at Argonne have discovered how applying artificial intelligence can lead to an easier process and better performance.

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The new projects will use DOE’s leadership-class supercomputers to pursue transformational advances in science and engineering.

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The Argonne Leadership Computing Facility’s internship program went virtual this year, providing students with an opportunity to work on real-world research projects that address issues at the forefront of scientific computing.

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The 2020 CyberForce Competition will be hosting over 400 students attending U.S. accredited institutions. Students will compete to harden and defend simulated wind energy infrastructure from cyber-attacks, while maintaining service for their customers (played by volunteers). Competitors will be selected by random lottery.

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Eight Argonne technologies are among those chosen as winners and finalists in the “Oscars of Innovation.”

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Argonne’s new AI technique may fast track the design and simulation of engines and all types of other products.

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Research teams from across the United States are using a multitude of techniques to study the SARS-CoV-2 virus using the Advanced Photon Source from their homes and institutions.

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Researchers from Argonne have developed a new way to accurately forecast traffic and proved that it could work using as their model the California highway system, the busiest in the United States.

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Argonne scientists, working as part of a national consortium of structural genomics experts, have greatly increased our knowledge of the virus that causes COVID-19.

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3D printing and low-cost sensors have made it possible to build a weather station for a few hundred dollars. Could these inexpensive, homegrown versions perform as well as their pricier counterparts?

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New insights into the way the body distributes dexamethasone could mean that patients with high blood sugar may see diminished effects.

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Argonne scientists will attend the virtual SC20 conference to share research advances in areas ranging from exascale computing and big data analysis to AI and quantum computing.

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In a first-time virtual contest, Argonne researchers will challenge hundreds of college students to defend simulated energy-sector infrastructure against cyberattacks.

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The first visualization of its kind, created by using powerful X-rays at Argonne’s Advanced Photon Source, will lead to improved manufacturing and efficiency.