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IMAGE: Illustration of the aerodynamic levitation process for studying refractory oxides at their melting points at the APS. A small bead of material is buoyed by gas and heated up by. view more
Credit: (Image by Ganesh Sivaraman/Argonne National Laboratory.)
Argonne scientists across several disciplines have combined forces to create a new process for testing and predicting the effects of high temperatures on refractory oxides.
Cast iron melts at around 1,200 degrees Celsius. Stainless steel melts at around 1,520 degrees Celsius. If you want to shape these materials into everyday objects, like the skillet in your kitchen or the surgical tools used by doctors, it stands to reason that you would need to create furnaces and molds out of something that can withstand even these extreme temperatures.
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This news release, originally issued by Diamond Light Source, describes a template for how to develop directly-acting antivirals that would combat COVID-19. The study focused on a specific part of the Nsp3 gene that SARS-CoV-2 uses to suppress the host cell’s natural antiviral response. Researchers from the University of California used the Highly Automated Macromolecular Crystallography (AMX) and the Frontier Microfocusing Macromolecular Crystallography (FMX) beamlines at the National Synchrotron Light Source II (NSLS-II) to characterize the molecular structure of proteins involved in this mechanism. The beamlines ultrasmall yet powerful x-rays and rapid sample mounting automation enabled the researchers to collect hundreds of high-resolution datasets per eight-hour shift. NSLS-II is a U.S. Department of Energy (DOE) Office of Science User Facility at DOE’s Brookhaven National Laboratory that offers a comprehensive suite of life science research capabilities. For
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IMAGE: Argonne researchers used supercomputers to optimize the design of piston bowls in heavy-duty engines for Caterpillar Inc. The top designs reduced fuel consumption and soot formation, and others had potential. view more
Credit: (Image by Chao Xu/Argonne National Laboratory.)
Argonne is helping Caterpillar improve efficiency and reduce emissions in their heavy-duty diesel engines.
Heavy-duty diesel engines still power most large vehicles used in the construction, mining and transportation industries in the United States. Engineers are working to improve the fuel efficiency of these engines while minimizing pollution to reduce energy consumption and ensure the sustainability of these industries in the future.
For the past six years, Argonne researchers have collaborated with Cummins, an engine design and manufacturing company, and software developer Convergent Science, Inc., to create predictive engine simulations using the laboratory’s high-performance computing tools. Now, they’re extending their partnership for three more years, and adding new collaborators and capabilities to.
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