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Argonne earns HPCwire awards for supercomputing excellence in energy and industry

 E-Mail IMAGE: The Argonne team of Sibendu Som, Muhsin Ameen and Saumil Patel won the Readers Choice Award for Best Use of HPC in Energy. view more  Credit: (Image by HPCwire.) HPCwire magazine recognizes two Argonne teams for outstanding achievement in their use of high performance computing. Two teams of scientists from the U.S. Department of Energy s (DOE) Argonne National Laboratory have won HPCwire Awards, recognizing their innovative use of high performance computing (HPC) to optimize engine design. The awards were presented by HPCwire magazine. The Readers Choice Award for Best Use of HPC in Energy went to a group of Argonne scientists who used the laboratory s Theta supercomputer to run the largest-ever combustion engine flow simulation. The Readers Choice Award for Best Use of HPC in Industry went to an interdisciplinary team of scientists from Argonne, Aramco Research Center-Detroit and Convergent Science, who used Argonne s supercomputers to resolve

Research at Advanced Photon Source laid the groundwork for effective COVID-19 vaccines

Research at Advanced Photon Source laid the groundwork for effective COVID-19 vaccines There is light at the end of the COVID-19 pandemic tunnel. Several vaccines against the SARS-CoV-2 virus that causes COVID-19 are now in clinical trials, with one developed by Pfizer/BioNTech already having been approved for emergency use in the United States. This has been the fastest development and rollout of any vaccine in history, starting with the first gene sequence released in January. (The previous record was held by the mumps vaccine, which took four years.) But while this may seem like an overnight success story, the speed and effectiveness of these new vaccines can be in part attributed to the decades of research into infectious diseases that preceded the COVID-19 outbreak. Case in point: five of the vaccines, including those developed by Pfizer/BioNTech and Moderna, contain genetic mutations that increase their effectiveness, mutations based upon work dating back more than 10 yea

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