Until now there was an upper limit to the energy produced by atoms irradiated with laser light. Now UC San Diego researchers have crossed the threshold using helium atoms and intense UV lasers.
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A multidisciplinary team of researchers including computer scientists at UC San Diego has been awarded a $37.5 million grant from the National Science Foundation for a center aimed at designing practical and self-correcting quantum computers from top to bottom,.
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Funding from the National Science Foundation will expand the quantum workforce and advance research projects including more accurate atomic clocks and sensors for early detection of disease.
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Understanding and wielding the quantum properties of nature is the ambitious objective of eight research institutes that will collectively receive more than $290 million from the U.S. National Science…
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A quantum particle that crosses a ‘duality defect’ – a boundary between order and disorder – is never reflected. It always passes through, but it comes out changed: not a particle, but a spread-out, thread-like excitation that researchers compare to a wisp of fog.
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Kidney disease is silent in its early stages, progressing without symptoms until the disease is advanced. Researchers in the McKelvey School of Engineering at Washington University in St. Louis, in collaboration with researchers at WashU Medicine and at Texas A&M University, have been developing a minimally invasive method to improve diagnosis in earlier stages. New research from the lab of Srikan
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Graphene is an exceptionally useful material for creating batteries, catalysts, and electronic devices. Yet producing graphene typically requires temperatures as high as 900°C, limiting energy efficiency and making structural control difficult. To make graphene production more practical, a recent study has overcome this long-standing temperature barrier. In a study published in the Journal of the
Machine learning doesn’t replace human intelligence, but it can outlast human endurance, which makes it a very helpful tool for chemistry and material discovery. Scientists know the machine learning models can make predictions based on the vast reams of data it is trained on, but can it take it a step further and massively scale up testing out those predictions? “We already see that AI is powerful
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Scientists could have a new way to explore the hidden behaviour of matter, thanks to research involving Queen Mary University of London that uses a quantum computer to carry out a new form of computational spectroscopy. Spectroscopy is an important scientific technique used to understand the properties of matter. By analysing how materials and molecules respond to energy or light, researchers can
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Developing safer solid-state batteries requires replacing flammable organic liquid electrolytes with solid-state electrolytes (SSEs) that can conduct ions well, remain stable, and have suitable mechanical properties. As interest in SSEs has grown, so has the volume of research in the field. However, the reported data remain scattered across the literature and vary widely in format and completeness
Lawrence Berkeley National Laboratory’s (Berkeley Lab) Advanced Light Source produces bright beams of light used to study materials and molecules down to the…
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In partnership with A.J. Tuck Company, scientists at the U.S. Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL) have developed a new manufacturing approach that could simplify production of critical components for advanced nuclear reactors and other energy and defense applications. The method combines 3D printing and electroforming to produce complex, leak-free hot isostatic pressi
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